import sys
sys.path.insert(0, '../src/')
import warnings
warnings.filterwarnings('ignore')
%matplotlib inline
from datetime import date
import geopandas as gpd
from IPython.display import display, HTML
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from pandas.plotting import lag_plot
from pandas.plotting import autocorrelation_plot
from statsmodels.tsa.ar_model import AR
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
from utils import load_pkl, generate_times
import seaborn as sns; sns.set()
from sklearn.metrics import mean_squared_error
from sklearn.model_selection import StratifiedKFold
from metrics import *
from preprocessing import normalize
import tqdm as tqdm
from tqdm.autonotebook import tqdm
tqdm.pandas()
# Imports classes
from Baseline import *
from Regressor import *
from utils import *
from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity = "all"
contour_iris = gpd.read_file(
'../datasets/iris/iris.shp')
convert_to_int = ['dep', 'insee_com', 'iris', 'code_iris']
for col in convert_to_int:
contour_iris[col] = contour_iris[col].astype(int)
contour_iris = contour_iris[['code_iris', 'geometry', 'dep']]
contour_iris.head();
station_data = pd.read_csv("../datasets/station_to_iris.csv")
station_data.describe();
stations_mode = load_pkl("../datasets/stations_mode.pkl")
subway_stations = [k for k, v in stations_mode.items() if v == 3]
print("Number of Subway stations: {}".format(len(subway_stations)))
Number of Subway stations: 303
Subways stations with less than $80000$ validations per $3$ month. Note that this is before we normalize the data. In the article, they removed $3$ subways stations, assuming that it was closed for renovation work. We printed below the $4$ stations with smaller number of validations.
station_data[(station_data['id'].isin(subway_stations)) & (station_data['validations_count'] < 80000)];
dates = pd.date_range(start="2015-10-01", end="2015-12-31").date
matrix_6h = np.load("../datasets/6h_matrix.npy")
matrix_2h = np.load("../datasets/2h_matrix.npy")
matrix_15m = np.load("../datasets/15m_matrix.npy")
f, ax = plt.subplots(1, figsize=(16, 12))
ax = contour_iris[contour_iris['dep'].isin([75, 92, 93, 94])].plot(
ax=ax, edgecolor='black', column='dep', cmap='icefire_r')
ax.scatter(station_data[station_data['id'].isin(subway_stations)]['x'],
station_data[station_data['id'].isin(subway_stations)]['y'], color='firebrick', label='Subway Stations')
ax.set_xlabel('Longitude')
ax.set_ylabel('Latitude')
ax.set_title('Subway Stations in ÃŽle de France')
ax.legend()
plt.show();
Below we apply Min Max Normalization to data, with a scale range of $[0, 1]$.
data_matrix_6h = pd.Panel(normalize(matrix_6h),
items=dates,
major_axis=subway_stations,
minor_axis=generate_times("6h")
)
data_matrix_2h = pd.Panel(normalize(matrix_2h),
items=dates,
major_axis=subway_stations,
minor_axis=generate_times("2h")
)
data_matrix_15m_complete = pd.Panel(matrix_15m,
items=dates,
major_axis=subway_stations,
minor_axis=generate_times("15min")
)
Delete the first $4$ hours, from $00.00.00$ to $04.00.00$ because it's useless, the number of validations in that range is mostly equal to 0.
del_hours = 0
data_matrix_15m = data_matrix_15m_complete.iloc[:, :, del_hours*4:]
data_matrix_15m.to_frame().head()
| 2015-10-01 | 2015-10-02 | 2015-10-03 | 2015-10-04 | 2015-10-05 | 2015-10-06 | 2015-10-07 | 2015-10-08 | 2015-10-09 | 2015-10-10 | ... | 2015-12-22 | 2015-12-23 | 2015-12-24 | 2015-12-25 | 2015-12-26 | 2015-12-27 | 2015-12-28 | 2015-12-29 | 2015-12-30 | 2015-12-31 | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| major | minor | |||||||||||||||||||||
| 198 | 00:00:00 | 38.0 | 70.0 | 57.0 | 26.0 | 26.0 | 39.0 | 46.0 | 53.0 | 46.0 | 70.0 | ... | 26.0 | 20.0 | 21.0 | 12.0 | 35.0 | 11.0 | 11.0 | 27.0 | 29.0 | 0.0 |
| 00:15:00 | 20.0 | 49.0 | 67.0 | 13.0 | 10.0 | 20.0 | 31.0 | 30.0 | 29.0 | 84.0 | ... | 14.0 | 23.0 | 21.0 | 19.0 | 36.0 | 14.0 | 17.0 | 11.0 | 18.0 | 0.0 | |
| 00:30:00 | 13.0 | 39.0 | 48.0 | 18.0 | 4.0 | 4.0 | 9.0 | 26.0 | 33.0 | 50.0 | ... | 13.0 | 5.0 | 2.0 | 11.0 | 22.0 | 8.0 | 13.0 | 36.0 | 12.0 | 0.0 | |
| 00:45:00 | 3.0 | 43.0 | 61.0 | 3.0 | 2.0 | 6.0 | 4.0 | 7.0 | 33.0 | 24.0 | ... | 4.0 | 5.0 | 9.0 | 10.0 | 6.0 | 1.0 | 2.0 | 2.0 | 3.0 | 0.0 | |
| 01:00:00 | 1.0 | 23.0 | 48.0 | 0.0 | 0.0 | 2.0 | 3.0 | 1.0 | 25.0 | 25.0 | ... | 5.0 | 2.0 | 5.0 | 1.0 | 9.0 | 2.0 | 1.0 | 2.0 | 2.0 | 0.0 |
5 rows × 92 columns
dmatrix_mean_6h = data_matrix_6h.mean()
dmatrix_mean_2h = data_matrix_2h.mean()
dmatrix_mean_15m = data_matrix_15m.mean()
dtmatrix_mean_6h = dmatrix_mean_6h.transpose()
dtmatrix_mean_2h = dmatrix_mean_2h.transpose()
dtmatrix_mean_15m = dmatrix_mean_15m.transpose()
Again, this is another way to print the stations with a small number of validations.
data_matrix_15m.mean(axis=0)[data_matrix_15m.mean(axis=0).sum(axis=1) < 810];
dmatrix_mean_15m.head()
dtmatrix_mean_15m.head()
| 2015-10-01 | 2015-10-02 | 2015-10-03 | 2015-10-04 | 2015-10-05 | 2015-10-06 | 2015-10-07 | 2015-10-08 | 2015-10-09 | 2015-10-10 | ... | 2015-12-22 | 2015-12-23 | 2015-12-24 | 2015-12-25 | 2015-12-26 | 2015-12-27 | 2015-12-28 | 2015-12-29 | 2015-12-30 | 2015-12-31 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 00:00:00 | 36.481848 | 53.389439 | 75.155116 | 19.254125 | 20.247525 | 27.996700 | 31.950495 | 38.940594 | 55.052805 | 63.435644 | ... | 34.145215 | 29.422442 | 21.141914 | 16.544554 | 29.531353 | 19.092409 | 24.069307 | 30.462046 | 31.683168 | 0.026403 |
| 00:15:00 | 28.102310 | 46.851485 | 69.412541 | 14.712871 | 14.689769 | 20.224422 | 24.848185 | 31.382838 | 50.775578 | 60.805281 | ... | 28.765677 | 24.570957 | 20.815182 | 14.442244 | 27.132013 | 18.973597 | 21.132013 | 25.815182 | 27.603960 | 0.016502 |
| 00:30:00 | 18.356436 | 37.458746 | 62.561056 | 12.412541 | 9.049505 | 12.963696 | 15.481848 | 19.828383 | 40.574257 | 51.204620 | ... | 20.867987 | 17.425743 | 17.937294 | 11.023102 | 24.696370 | 12.749175 | 15.009901 | 18.755776 | 20.019802 | 0.036304 |
| 00:45:00 | 8.052805 | 29.128713 | 52.521452 | 4.584158 | 4.171617 | 5.821782 | 6.333333 | 8.603960 | 30.920792 | 40.554455 | ... | 8.716172 | 7.933993 | 12.669967 | 7.858086 | 17.557756 | 5.709571 | 6.425743 | 8.336634 | 9.696370 | 0.013201 |
| 01:00:00 | 2.587459 | 23.132013 | 46.643564 | 1.920792 | 1.768977 | 1.943894 | 2.069307 | 2.422442 | 25.405941 | 35.693069 | ... | 2.640264 | 2.557756 | 8.993399 | 5.201320 | 12.785479 | 2.092409 | 2.343234 | 2.570957 | 3.079208 | 0.003300 |
5 rows × 92 columns
| 00:00:00 | 00:15:00 | 00:30:00 | 00:45:00 | 01:00:00 | 01:15:00 | 01:30:00 | 01:45:00 | 02:00:00 | 02:15:00 | ... | 21:30:00 | 21:45:00 | 22:00:00 | 22:15:00 | 22:30:00 | 22:45:00 | 23:00:00 | 23:15:00 | 23:30:00 | 23:45:00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-10-01 | 36.481848 | 28.102310 | 18.356436 | 8.052805 | 2.587459 | 0.495050 | 0.214521 | 0.165017 | 0.105611 | 0.168317 | ... | 70.927393 | 66.881188 | 65.399340 | 60.584158 | 60.755776 | 64.207921 | 75.128713 | 64.590759 | 52.138614 | 43.818482 |
| 2015-10-02 | 53.389439 | 46.851485 | 37.458746 | 29.128713 | 23.132013 | 19.742574 | 15.320132 | 6.973597 | 2.069307 | 0.491749 | ... | 78.590759 | 73.495050 | 70.907591 | 65.983498 | 66.211221 | 62.917492 | 66.330033 | 63.188119 | 57.755776 | 54.673267 |
| 2015-10-03 | 75.155116 | 69.412541 | 62.561056 | 52.521452 | 46.643564 | 41.693069 | 37.009901 | 23.323432 | 8.752475 | 2.306931 | ... | 82.211221 | 77.181518 | 73.755776 | 72.805281 | 74.570957 | 76.264026 | 83.947195 | 80.049505 | 76.587459 | 72.772277 |
| 2015-10-04 | 19.254125 | 14.712871 | 12.412541 | 4.584158 | 1.920792 | 0.455446 | 0.165017 | 0.059406 | 0.092409 | 0.059406 | ... | 43.570957 | 43.818482 | 41.745875 | 37.462046 | 36.722772 | 37.283828 | 52.759076 | 37.158416 | 31.211221 | 25.254125 |
| 2015-10-05 | 20.247525 | 14.689769 | 9.049505 | 4.171617 | 1.768977 | 0.435644 | 0.227723 | 0.108911 | 0.085809 | 0.099010 | ... | 61.039604 | 52.346535 | 53.125413 | 46.059406 | 45.498350 | 41.036304 | 41.254125 | 35.336634 | 28.003300 | 22.801980 |
5 rows × 96 columns
f, ax = plt.subplots(3, figsize=(16, 12))
ax1 = dtmatrix_mean_15m.plot(ax=ax[0], legend=False)
ax1.set_xticklabels([])
ax1.set_ylabel('Number of Validations')
ax1.set_title('15min')
ax2 = dtmatrix_mean_2h.plot(ax=ax[1])
ax2.set_xticklabels([])
ax2.set_ylabel('Number of Validations')
ax2.set_title('2h')
ax2.legend(bbox_to_anchor=(1., 1.01))
ax3 = dtmatrix_mean_6h.plot(ax=ax[2])
ax3.set_xlabel('Days')
ax3.set_ylabel('Number of Validations')
ax3.set_title('6h')
ax3.legend(bbox_to_anchor=(1., 1.01))
plt.xticks(rotation=90)
plt.show();
f, ax = plt.subplots(3, figsize=(16, 12))
ax1 = dtmatrix_mean_15m.plot.area(ax=ax[0], legend=False)
ax1.set_xticklabels([])
ax1.set_ylabel('Time')
ax1.set_title('15min')
ax2 = dtmatrix_mean_2h.plot.area(ax=ax[1])
ax2.set_xticklabels([])
ax2.set_ylabel('Time')
ax2.set_title('2h')
ax2.legend(bbox_to_anchor=(1., 1.01))
ax3 = dtmatrix_mean_6h.plot.area(ax=ax[2])
ax3.set_xlabel('Days')
ax3.set_ylabel('Time')
ax3.set_title('6h')
ax3.legend(bbox_to_anchor=(1., 1.01), loc=2)
plt.xticks(rotation=90)
plt.show();
fig = plt.figure(figsize=(16, 6))
gs = gridspec.GridSpec(1, 1)
ax = fig.add_subplot(gs[0])
dmatrix_mean_15m.plot(ax=ax, legend=False)
plt.ylabel('Number of Validations')
plt.title('15min')
plt.xticks(rotation=90)
plt.show();
f, ax = plt.subplots(3, figsize=(16, 12))
ax1 = dmatrix_mean_15m.iloc[:, :31].plot(ax=ax[0])
ax1.set_xticklabels([])
ax1.set_ylabel('Days')
ax1.set_title('October\'s number of validations')
ax1.legend(bbox_to_anchor=(1., 0.9, 1.1, .102), ncol=2, loc=2,
borderaxespad=0.)
ax2 = dmatrix_mean_15m.iloc[:, 31:61].plot(ax=ax[1])
ax2.set_xticklabels([])
ax2.set_ylabel('Days')
ax2.set_title('November\'s number of validations')
ax2.legend(bbox_to_anchor=(1., 0.9, 1.1, .102), ncol=2, loc=2,
borderaxespad=0.)
ax3 = dmatrix_mean_15m.iloc[:, 61:].plot(ax=ax[2])
ax3.set_xlabel('Time')
ax3.set_ylabel('Days')
ax3.set_title('December\'s number of validations')
plt.legend(bbox_to_anchor=(1., 0.9, 1.1, .102), loc=2,
ncol=2, borderaxespad=0.)
plt.xticks(rotation=90)
plt.tight_layout()
plt.show();
f, ax = plt.subplots(2, figsize=(16, 12))
ax1 = dtmatrix_mean_15m.boxplot(return_type='both', ax=ax[0])
ax[0].set_xlabel("Time", fontsize=15)
ax[0].set_ylabel("Number of Validations", fontsize=15)
for tick in ax[0].get_xticklabels():
tick.set_rotation(90)
ax2 = dmatrix_mean_15m.boxplot(return_type='both', ax=ax[1])
plt.xticks(rotation=90)
plt.tight_layout()
plt.show();
from __init__ import *
wd_15m = data_matrix_15m.loc[dict_w.values()]
wdm_15m = wd_15m.mean()
wdmt_15m = wdm_15m.transpose()
wd_15mf = data_matrix_15m.loc[dict_wd_final.values()]
wdm_15mf = wd_15mf.mean()
wdmt_15mf = wdm_15mf.transpose()
f, ax = plt.subplots(3, figsize=(16, 12))
ax1 = wdm_15m.loc[:, dict_wd_oct.values()].plot(ax=ax[0])
ax1.set_xticklabels([])
ax1.set_ylabel('Number of Validations')
ax1.set_title('Octobre')
ax1.legend(bbox_to_anchor=(1., 0.9, 1.1, .102), ncol=2, loc=2,
borderaxespad=0.)
ax2 = wdm_15m.loc[:, dict_wd_nov.values()].plot(ax=ax[1])
ax2.set_xticklabels([])
ax2.set_ylabel('Number of Validations')
ax2.set_title('Novembre')
ax2.legend(bbox_to_anchor=(1., 0.9, 1.1, .102), ncol=2, loc=2,
borderaxespad=0.)
ax3 = wdm_15m.loc[:, dict_wd_dec.values()].plot(ax=ax[2])
ax3.set_xlabel('Time')
ax3.set_ylabel('Number of Validations')
ax3.set_title('Decembre')
plt.legend(bbox_to_anchor=(1., 0.9, 1.1, .102), loc=2,
ncol=2, borderaxespad=0.)
plt.xticks(rotation=90)
plt.tight_layout()
plt.show();
f, ax = plt.subplots(2, figsize=(16, 8))
ax1 = wdm_15mf.loc[:, dict_wd_novf.values()].plot(ax=ax[0])
ax1.set_xticks([])
ax1.set_ylabel('Number of Validations')
ax1.set_title('Novembre')
ax1.legend(bbox_to_anchor=(1., 0.9, 1.1, .102), ncol=2, loc=2,
borderaxespad=0.)
ax2 = wdm_15mf.loc[:, dict_wd_decf.values()].plot(ax=ax[1])
ax2.set_xlabel('Time')
ax2.set_ylabel('Number of Validations')
ax2.set_title('Decembre')
plt.legend(bbox_to_anchor=(1., 0.9, 1.1, .102), loc=2,
ncol=2, borderaxespad=0.)
plt.tight_layout()
plt.show();
f, ax = plt.subplots(2, figsize=(16, 12))
ax1 = wdmt_15mf.boxplot(return_type='both', ax=ax[0])
ax[0].set_xlabel("Time", fontsize=15)
ax[0].set_ylabel("Number of Validations", fontsize=15)
for tick in ax[0].get_xticklabels():
tick.set_rotation(90)
ax2 = wdm_15mf.boxplot(return_type='both', ax=ax[1])
plt.xticks(rotation=90)
plt.tight_layout()
plt.show();
fig, (ax1, ax2) = plt.subplots(2, figsize=(16, 12))
wdm_15mf.plot(ax=ax1, legend=False)
ax1.set_ylabel('Number of Validations'); ax1.set_title('15min')
ax2 = wdmt_15mf.plot(ax=ax2, legend=False)
ax2.set_ylabel('Number of Validations'); ax2.set_title('15min')
plt.xticks(rotation=90)
plt.tight_layout()
plt.show();
fig, (ax1, ax2) = plt.subplots(2, figsize=(16, 12))
autocorrelation_plot(wdmt_15mf.mean(), ax=ax1, c='blue')
ax1.set_title('15min discretization matrix')
plot_acf(wdmt_15mf.mean(), ax=ax2, c='blue', title='Auto Correlation')
plt.show();
plt.figure(figsize=(16, 7))
lag_plot(wdmt_15mf.mean(), c='blue')
plt.title('Lag plot 15min discretization matrix')
# plot_pacf(wdmt_15mf.mean(), ax=ax[1], c='blue', title='Partial Auto Correlation')
plt.show();
dico = dict_wd
size = 45
X = data_matrix_15m.loc[dico.values()]
Xm = X.mean()
Xmt = Xm.transpose()
kw = list(dico.keys())
np.random.shuffle(kw)
vw = [dico[i] for i in kw]
ind_train = vw[:size]
ind_test = vw[size:]
X_train = X[ind_train]
X_test = X[ind_test]
X_train
X_test
<class 'pandas.core.panel.Panel'> Dimensions: 45 (items) x 303 (major_axis) x 96 (minor_axis) Items axis: 2015-12-18 to 2015-12-09 Major_axis axis: 198 to 60982 Minor_axis axis: 00:00:00 to 23:45:00
<class 'pandas.core.panel.Panel'> Dimensions: 21 (items) x 303 (major_axis) x 96 (minor_axis) Items axis: 2015-12-03 to 2015-10-19 Major_axis axis: 198 to 60982 Minor_axis axis: 00:00:00 to 23:45:00
def baseline_plot_results(levels):
"""
"""
baseline_scores = []
baseline_preds = []
for level in levels:
b = Baseline(level=level, first_ndays=5)
b.fit(X_train)
baseline_preds.append(b.predict(X_test))
baseline_scores.append(b.score(X_test))
df_baseline_scores = pd.DataFrame(np.array(baseline_scores).T,
index=['R2', 'RMSE', 'MSE', 'MAE', 'MAPE', 'MPE'],
columns=levels)
display(HTML(df_baseline_scores.to_html()))
pd.DataFrame(df_baseline_scores.loc['RMSE'].values.repeat(4).reshape(-1, 4).T,
columns=levels).plot(figsize=(16, 4), kind='area');
return df_baseline_scores
levels = ["None", "s", "j", "sj"]
df_baseline_scores = baseline_plot_results(levels)
| None | s | j | sj | |
|---|---|---|---|---|
| R2 | 0.108362 | 0.930679 | 0.106301 | 0.920043 |
| RMSE | 336.292884 | 93.768448 | 336.681257 | 100.704955 |
| MSE | 113092.903518 | 8792.521915 | 113354.268867 | 10141.487900 |
| MAE | 1.951394 | 0.444717 | 2.006559 | 0.483100 |
| MAPE | 195.139440 | 44.471745 | 200.655931 | 48.309983 |
| MPE | -174.160842 | -24.836670 | -180.126630 | -28.111394 |
from cost_functions import mse, mse_g
class myAR(Regressor):
def __init__(self, order=4, level=None, loss=mse, loss_g=mse_g, max_iter=1000,
eps=0.01):
""" Initialisation des paramètres du perceptron
:param order: Taille de la fenêtre glissante
:param loss: fonction de coût
:param loss_g: gradient de la fonction coût
:param max_iter: nombre maximum d'itération de la fonction coût
:param eps: pas du gradient
"""
self.order = order
self.max_iter, self.eps = max_iter, eps
self.loss, self.loss_g = loss, loss_g
self.w = np.random.random(self.order)
@Regressor.datax_decorator
def analytic_fit(self, datax):
""" Finds the optimal weigths analytically
:param datax: contient tous les exemples du dataset
:returns: void
:rtype: None
"""
self.X, self.y = datax
A, B = self.X.T.dot(self.X), self.X.T.dot(self.y)
self.w = np.linalg.solve(A, B).ravel()
display(HTML(pd.DataFrame(self.w.reshape(1, -1), index=['Weights'],
columns=range(1, len(self.w)+1)).to_html()))
def minibatch_fit(self, datax):
""" Mini-Batch gradient descent Learning
:param datax: contient tous les exemples du dataset
"""
for _ in range(self.max_iter):
for d in range(datax.shape[0]):
for t in range(datax.shape[2] - self.order):
batchx = datax.iloc[d, :, t:t + self.order].values
batchy = datax.iloc[d, :, t + self.order].values
self.w -= (self.eps * self.loss_g(batchx, batchy, self.w))
def predict(self, datax):
""" Predict labels
:param datax: contient tous les exemples du dataset
:returns: predicted labels
:rtype: numpy array
"""
y_pred = []
for d in range(datax.shape[0]):
y_pred.append([])
for t in range(datax.shape[2] - self.order):
batchx = datax.iloc[d, :, t:t + self.order].values
y_pred[d].append(batchx.dot(self.w.T))
return np.array(y_pred).transpose(0, 2, 1)
def forecast_n(self, datax):
""" Predict labels
:param datax: contient tous les exemples du dataset
:returns: predicted labels
:rtype: numpy array
"""
y_pred = []
for d in range(datax.shape[0]):
y_pred.append([])
batchx = datax.iloc[d, :, 0:self.order].values
for t in range(datax.shape[2] - self.order):
next_y = batchx.dot(self.w.T)
y_pred[d].append(next_y)
batchx = np.hstack(
(batchx[:, 1:], np.array(next_y).reshape(-1, 1)))
return np.array(y_pred).transpose(0, 2, 1)
def transform_batchx(self, batchx, tplus):
"""
"""
if tplus == 1:
return batchx
for _ in range(tplus-1):
next_y = batchx.dot(self.w.T)
if batchx.ndim == 2:
batchx = np.hstack((batchx[:, 1:],
np.array(next_y).reshape(-1, 1)))
elif batchx.ndim == 1:
batchx = np.hstack((batchx[1:], next_y))
return batchx
def forecast(self, datax, tplus=None):
""" Predict labels
:param datax: contient tous les exemples du dataset
:param tplus: if t equal to 2, means predicting what happened at t+2
:returns: predicted labels
:rtype: numpy array
"""
if tplus == None or tplus > self.order:
return self.forecast_n(datax)
else:
y_pred = []
batch_ind = self.order - tplus
if datax.ndim == 3:
for d in range(datax.shape[0]):
y_pred.append([])
# Take the first batch
batchx = datax.iloc[d, :, 0:self.order].values
# Predict till we finish the first round of tplus
for _ in range(tplus):
next_y = batchx.dot(self.w.T)
y_pred[d].append(next_y)
batchx = np.hstack((batchx[:, 1:],
np.array(next_y).reshape(-1, 1)))
# After the first round of tplus, we have to replace some
# predicted values by the real ones and simultaneously
# replace the following columns by t+1,..., tplus
for t in range(1, datax.shape[2] - self.order - tplus + 1):
batchx = self.transform_batchx(
datax.iloc[d, :, t:self.order+t].values, tplus)
next_y = batchx.dot(self.w.T)
# next_y = np.where(next_y < 0, 0, next_y)
y_pred[d].append(next_y)
elif datax.ndim == 2:
# TODO
pass
elif datax.ndim == 1:
batchx = datax.iloc[0:self.order].values
for _ in range(tplus):
next_y = batchx.dot(self.w.T)
y_pred.append(next_y)
batchx = np.hstack((batchx[1:], next_y))
for t in range(1, datax.shape[0] - self.order - tplus + 1):
batchx = self.transform_batchx(
datax.iloc[t:self.order+t].values, tplus)
next_y = batchx.dot(self.w.T)
# if next_y < 0: next_y = 0
y_pred.append(next_y)
return np.array(y_pred)
else:
raise ValueError("Untreated datax number of dimensions")
return np.array(y_pred).transpose(0, 2, 1)
class theAR(Baseline):
def __init__(self, level=None, first_ndays=7, **kwargs):
"""
"""
super().__init__(level, first_ndays)
self.kwargs = kwargs
def fit(self, datax):
"""
"""
if self.level is None:
self.model = myAR(**self.kwargs)
self.model.analytic_fit(datax)
elif self.level.lower() == "s":
self.models = []
for s in range(datax.shape[1]):
Xs = datax.iloc[:, s].T
self.models.append(myAR(**self.kwargs))
self.models[s].analytic_fit(Xs)
elif self.level.lower() == "j":
# TODO
self.mean = []
for d in range(self.first_ndays):
exist_ind = list(set(ddict_days[d].values()) & set(datax.items))
self.mean.append(datax[exist_ind].mean().mean(axis=1))
elif self.level.lower() == "sj":
# TODO
self.mean = []
for d in range(self.first_ndays):
exist_ind = list(set(ddict_days[d].values()) & set(datax.items))
self.mean.append(datax[exist_ind].mean(axis=0))
else:
raise ValueError("Unknown value for level attribute, \
try: s, j, sj or None")
def predict(self, datax, tplus=None):
"""
"""
def predict_per_station(x, tplus):
pred_s = []
for s in range(x.shape[0]):
pred_s.append(self.models[s].forecast(x.iloc[s], tplus))
return np.array(pred_s)
if self.level is None:
return self.model.forecast(datax, tplus)
elif self.level.lower() == "s":
return datax.apply(
lambda x: predict_per_station(x, tplus), axis=(1, 2))
elif self.level.lower() == "j":
# TODO
pass
elif self.level.lower() == "sj":
# TODO
pass
else:
raise ValueError("Unknown value for level attribute, \
try: s, j, sj or None")
def score(self, datax, tplus=None):
"""
"""
X_pred = self.predict(datax, tplus)
try:
df_X = datax.iloc[:, :, self.model.order:]
return super().metrics_score(df_X, X_pred)
except:
df_X = datax.iloc[:, :, self.models[0].order:]
return super().metrics_score(df_X, X_pred.values)
def ar_plot_results(level, order, limit_t):
"""
"""
ar_scores = []
ar_preds = []
ar = theAR(level=level, order=order)
print("Fitting...")
ar.fit(X_train)
print("Predicting...")
for t in tqdm(range(1, limit_t+1)):
ar_preds.append(ar.predict(X_test, t))
ar_scores.append(ar.score(X_test, t))
print("Scoring...")
display(HTML((pd.DataFrame(np.array(ar_scores).T,
index=['R2', 'RMSE', 'MSE', 'MAE', 'MAPE', 'MPE'],
columns=list(map(
lambda x: "t+"+str(x),
range(1, len(ar_scores)+1))))).to_html()))
return ar_scores, ar_preds
def plot_qualitative_analysis(*args):
"""
"""
fig, ax = plt.subplots(limit_t+1, figsize=(16, limit_t*4))
wd_testorder_15m = args[1].iloc[:, :, order:]
wdm_testorder_15m = wd_testorder_15m.mean()
wdm_testorder_15m.plot(ax=ax[0])
ax[0].set_ylabel('Number of Validations')
ax[0].set_title('Test')
ax[0].legend(bbox_to_anchor=(1., 0.9, 1.1, .102), ncol=2, loc=2,
borderaxespad=0.)
for i in range(1, limit_t+1):
pred_t = create_panel_pred(*args).mean()
pred_t.plot(ax=ax[i])
ax[i].set_ylabel('Number of Validations')
ax[i].set_title("Predict t+{}".format(i))
ax[i].legend(bbox_to_anchor=(1., 0.9, 1.1, .102), ncol=2, loc=2,
borderaxespad=0.)
plt.tight_layout()
plt.show();
order = 16
limit_t = 12
%%time
ar_scores, ar_preds = ar_plot_results(None, order, limit_t)
Fitting...
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.032393 | -0.010881 | -0.012412 | -0.048519 | 0.033852 | 0.053783 | 0.006139 | -0.073935 | 0.083525 | 0.039009 | -0.025478 | -0.174355 | -0.041806 | -0.186543 | 0.269965 | 1.02947 |
Predicting...
Scoring...
| t+1 | t+2 | t+3 | t+4 | t+5 | t+6 | t+7 | t+8 | t+9 | t+10 | t+11 | t+12 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| R2 | 0.959885 | 0.917616 | 0.847844 | 0.763602 | 0.654799 | 0.551067 | 0.452221 | 0.368425 | 0.293396 | 0.236637 | 0.193950 | 0.162264 |
| RMSE | 77.056366 | 110.427725 | 150.072445 | 187.058711 | 226.043809 | 257.778705 | 284.747051 | 305.751763 | 323.403246 | 336.141429 | 345.411993 | 352.135621 |
| MSE | 5937.683518 | 12194.282388 | 22521.738692 | 34990.961185 | 51095.803382 | 66449.860794 | 81080.883283 | 93484.140620 | 104589.659451 | 112991.060350 | 119309.445030 | 123999.495440 |
| MAE | 0.264305 | 0.353468 | 0.441430 | 0.519554 | 0.595976 | 0.654446 | 0.707719 | 0.748601 | 0.785668 | 0.811570 | 0.832963 | 0.851917 |
| MAPE | 26.430536 | 35.346849 | 44.143016 | 51.955420 | 59.597566 | 65.444588 | 70.771904 | 74.860103 | 78.566784 | 81.157028 | 83.296268 | 85.191684 |
| MPE | -0.913098 | 0.484733 | 1.602675 | 2.324734 | 2.009731 | 2.114889 | 1.682568 | 1.332940 | 0.515250 | 0.851296 | 1.873107 | 3.252648 |
CPU times: user 15.8 s, sys: 1.49 s, total: 17.3 s Wall time: 16.8 s
fig, ax = plt.subplots(1, figsize=(10, 6))
ax.set_prop_cycle(color=['darkgoldenrod', 'brown'])
x = range(1, limit_t+1)
baseline_score = df_baseline_scores.loc['RMSE', 'None'].repeat(limit_t).reshape(-1, limit_t).T
model_score = np.array(ar_scores).T[1]
ax = plt.plot(x, model_score, linewidth=3, label="Full AR")
ax = plt.scatter(x, model_score, marker='*', s=100)
ax = plt.plot(x, baseline_score, linewidth=3, label="Full baseline")
ax = plt.scatter(x, baseline_score, marker='*', s=100)
plt.legend(prop={'size': 20})
plt.title("RMSE of full baseline and AR model, from $t+1$ to $t+{}$".format(limit_t), fontsize=16)
plt.xlabel("T plus", fontsize=16); plt.ylabel("RMSE", fontsize=16);
plot_qualitative_analysis(ar_preds, X_test, i, order, subway_stations, del_hours)
order = 16
limit_t = 12
%%time
ar_scores_s, ar_preds_s = ar_plot_results("s", order, limit_t)
Fitting...
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.012777 | 0.003692 | 0.010484 | -0.005068 | -0.012645 | 0.004586 | 0.010796 | 0.013117 | 0.036879 | 0.017727 | -0.000998 | -0.135979 | -0.217031 | 0.012857 | 0.357408 | 0.850632 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.070906 | -0.066496 | -0.06578 | 0.029764 | 0.045726 | 0.050325 | 0.020553 | -0.008282 | -0.000198 | 0.031239 | -0.160143 | -0.157955 | 0.112702 | 0.115061 | 0.207067 | 0.741535 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.012232 | 0.013243 | 0.050888 | -0.076472 | -0.006178 | -0.037304 | 0.011978 | 0.038125 | 0.102707 | 0.030967 | -0.017053 | -0.241636 | 0.046859 | -0.242818 | 0.153354 | 1.122444 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.068544 | -0.044609 | 0.009225 | -0.005992 | -0.032572 | 0.047319 | 0.007188 | -0.021762 | 0.090877 | -0.075277 | 0.082151 | -0.261293 | 0.017633 | -0.103433 | 0.469447 | 0.727876 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.021177 | 0.015701 | 0.11088 | -0.125829 | 0.078172 | 0.012526 | -0.008895 | -0.120868 | 0.114826 | -0.015639 | -0.121748 | -0.195778 | 0.291674 | -0.024102 | 0.152749 | 0.846422 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.0041 | -0.019852 | 0.066211 | -0.020579 | 0.01537 | -0.043082 | -0.005779 | -0.046017 | 0.154337 | 0.004069 | 0.057059 | -0.27962 | 0.052854 | -0.138814 | 0.071601 | 1.094179 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.007053 | -0.007253 | -0.013361 | 0.079003 | 0.018822 | -0.034227 | -0.030887 | -0.05107 | 0.158644 | -0.0459 | 0.08723 | -0.406109 | 0.064416 | 0.015924 | 0.375758 | 0.774208 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.030446 | 0.018634 | 0.00833 | -0.066185 | -0.046056 | 0.009814 | 0.037934 | 0.050736 | 0.110357 | 0.068544 | -0.255715 | -0.118066 | -0.018115 | -0.02703 | 0.084839 | 1.083139 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.057635 | -0.062252 | 0.02025 | -0.066776 | 0.099825 | -0.01513 | 0.008269 | -0.085341 | 0.146146 | -0.016089 | 0.066567 | -0.285068 | -0.003774 | -0.024056 | 0.039027 | 1.100759 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.020614 | -0.002541 | 0.06552 | -0.165189 | 0.070337 | 0.071544 | -0.016493 | -0.106294 | 0.130304 | 0.010561 | -0.002801 | -0.086946 | 0.014234 | -0.208553 | -0.159403 | 1.339137 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.038146 | -0.045494 | 0.037711 | 0.011463 | -0.027831 | -0.01954 | 0.052562 | 0.075511 | -0.034518 | -0.066787 | 0.110308 | -0.174803 | -0.166482 | -0.110478 | 0.67329 | 0.613238 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.030121 | -0.01552 | 0.017302 | -0.018858 | 0.04176 | -0.014249 | 0.009765 | -0.09693 | 0.07592 | 0.023421 | -0.056299 | -0.114205 | 0.10066 | -0.090831 | 0.234921 | 0.854029 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.046009 | 0.088787 | -0.054341 | -0.044641 | 0.13049 | 0.091332 | -0.084295 | -0.19343 | 0.13911 | -0.289861 | 0.274811 | -0.112249 | 0.258543 | -0.041611 | 0.236657 | 0.61553 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.049848 | 0.009447 | -0.002007 | -0.035326 | 0.014657 | 0.017703 | -0.010887 | -0.062913 | 0.021411 | 0.024613 | 0.048496 | -0.181349 | 0.068322 | -0.185027 | 0.44071 | 0.757017 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.036826 | -0.005316 | 0.083374 | 0.042217 | -0.037391 | -0.018747 | -0.027235 | -0.142214 | 0.276592 | -0.017866 | -0.119705 | -0.288272 | 0.228146 | -0.073783 | 0.252032 | 0.862302 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.031645 | 0.071568 | 0.010415 | -0.11892 | 0.099415 | -0.015781 | 0.049437 | -0.072287 | 0.107842 | -0.04309 | 0.003294 | -0.235472 | 0.134193 | -0.123792 | 0.039687 | 1.092882 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.029069 | 0.048262 | 0.040451 | -0.124878 | 0.057809 | 0.006066 | 0.0256 | -0.073542 | 0.187554 | -0.055863 | -0.193738 | -0.161299 | 0.303051 | -0.021139 | 0.326405 | 0.637786 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.040217 | -0.072344 | 0.092747 | -0.074862 | 0.054592 | -0.010486 | -0.000561 | -0.062538 | 0.157169 | 0.007185 | -0.105651 | -0.156954 | 0.05985 | -0.124689 | 0.219014 | 0.956 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.046626 | -0.041022 | -0.020528 | 0.001533 | 0.007983 | 0.114513 | -0.019124 | -0.066687 | 0.120939 | -0.009357 | -0.151268 | -0.231931 | 0.13447 | 0.145642 | 0.319758 | 0.619679 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.032765 | 0.015139 | 0.011652 | -0.044735 | 0.05873 | 0.043193 | -0.019663 | -0.18239 | 0.008293 | 0.008725 | -0.00082 | -0.142711 | 0.11835 | 0.022698 | 0.163735 | 0.89086 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.035554 | 0.093072 | -0.016227 | -0.087451 | 0.050402 | 0.057013 | 0.00273 | -0.107281 | 0.08075 | 0.041878 | 0.096046 | -0.301497 | 0.190365 | -0.343288 | 0.135255 | 1.127156 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.007389 | -0.004141 | 0.097077 | -0.097039 | -0.003072 | -0.015041 | -0.007323 | -0.001625 | 0.183706 | -0.01802 | -0.048028 | -0.198845 | -0.047467 | -0.071281 | 0.207393 | 0.992191 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.056408 | -0.036406 | 0.004903 | -0.067228 | 0.050673 | 0.009987 | 0.001846 | -0.016003 | 0.179273 | -0.013771 | -0.152004 | -0.17257 | 0.06137 | -0.174578 | 0.303184 | 0.938057 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.005674 | 0.029895 | 0.016149 | -0.109594 | 0.088228 | -0.000153 | -0.001834 | -0.080001 | 0.110229 | 0.096815 | -0.096514 | -0.107751 | 0.062543 | -0.322083 | 0.120392 | 1.154194 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.028028 | -0.010064 | -0.006487 | -0.046932 | 0.009397 | 0.056158 | 0.027844 | -0.054789 | 0.074928 | -0.012431 | -0.036774 | -0.034377 | -0.113278 | -0.141246 | 0.055814 | 1.17423 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.03007 | -0.013158 | 0.025247 | -0.021214 | -0.015025 | -0.011215 | 0.046371 | 0.032294 | 0.07878 | -0.052519 | -0.145824 | -0.299852 | 0.30266 | -0.159519 | 0.402021 | 0.772909 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.010698 | -0.032275 | 0.008529 | -0.041922 | 0.11008 | 0.064229 | -0.024789 | -0.11526 | 0.160209 | -0.134998 | -0.078008 | -0.320671 | 0.267609 | 0.030062 | 0.274103 | 0.80255 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.03446 | -0.040052 | -0.063707 | 0.043887 | 0.050074 | 0.053302 | -0.051168 | 0.022485 | 0.06756 | -0.103279 | -0.080904 | -0.090343 | -0.067133 | 0.07001 | 0.312361 | 0.822988 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.063708 | -0.091718 | -0.029587 | 0.011816 | 0.107275 | 0.039437 | -0.039407 | -0.047238 | 0.071725 | -0.058235 | -0.066629 | -0.17617 | 0.221189 | -0.173454 | 0.377489 | 0.771083 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.047944 | -0.039757 | 0.00246 | -0.005799 | 0.017022 | 0.049592 | -0.028172 | 0.023145 | 0.040128 | -0.024556 | -0.052835 | -0.295347 | 0.177739 | 0.044727 | 0.25884 | 0.75229 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.052139 | -0.02889 | -0.00899 | -0.111544 | 0.0853 | 0.133379 | 0.004564 | -0.156973 | 0.040882 | -0.07515 | 0.213009 | -0.313093 | 0.19635 | -0.218242 | 0.173484 | 0.987946 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.068616 | -0.078339 | -0.087718 | 0.013178 | 0.109397 | 0.076024 | 0.009557 | -0.115456 | 0.045141 | 0.052117 | -0.026629 | -0.27145 | 0.103088 | -0.275196 | 0.384978 | 0.967369 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.051152 | -0.100634 | 0.123789 | -0.124601 | 0.13273 | -0.101197 | 0.042778 | 0.022152 | -0.009495 | -0.018103 | 0.186111 | -0.243603 | 0.007395 | -0.251567 | 0.115879 | 1.143247 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.097241 | -0.068903 | -0.034724 | -0.024847 | 0.050739 | -0.001446 | 0.003286 | -0.038721 | 0.176135 | 0.006639 | -0.084119 | -0.337154 | 0.118218 | -0.025487 | 0.199531 | 0.94038 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.02445 | 0.021124 | -0.01948 | -0.082149 | 0.080338 | 0.033347 | -0.015806 | -0.050208 | 0.049355 | 0.01737 | 0.031504 | -0.234898 | 0.101677 | -0.166971 | 0.255188 | 0.909908 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.017095 | 0.04531 | -0.009097 | 0.026996 | 0.018379 | -0.009098 | 0.019686 | -0.070744 | 0.087364 | 0.003149 | -0.166778 | -0.290124 | 0.397125 | 0.122932 | 0.092633 | 0.708568 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.058909 | 0.015053 | -0.034612 | 0.140665 | 0.054225 | -0.027761 | 0.02034 | -0.121091 | 0.014107 | 0.062496 | -0.040929 | -0.406407 | 0.293994 | -0.006351 | 0.234922 | 0.844797 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.035888 | -0.059511 | 0.04049 | -0.076603 | 0.139841 | -0.040957 | 0.019943 | -0.080335 | 0.120947 | -0.009647 | -0.079232 | -0.210823 | 0.108767 | 0.061863 | 0.168599 | 0.831269 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.034163 | -0.010602 | 0.052965 | -0.107149 | 0.047189 | -0.0095 | 0.029659 | -0.019786 | 0.139373 | -0.002636 | -0.079067 | -0.211796 | 0.021504 | -0.045295 | 0.255511 | 0.889993 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.03298 | -0.087728 | -0.00644 | 0.081439 | 0.015747 | 0.008851 | 0.070561 | -0.154496 | 0.027037 | 0.141809 | -0.008201 | -0.413844 | 0.329484 | -0.311763 | 0.213403 | 1.048205 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.024628 | -0.10759 | 0.031439 | 0.020438 | 0.058861 | 0.137862 | -0.122183 | -0.113457 | 0.157963 | 0.009877 | -0.018162 | -0.356179 | 0.216575 | -0.229303 | 0.231096 | 1.031937 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.010669 | 0.003477 | -0.010196 | 0.004442 | 0.110149 | -0.043125 | -0.000173 | -0.080541 | 0.066318 | -0.108474 | -0.12052 | -0.086278 | 0.145504 | 0.109099 | 0.400658 | 0.575467 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.078358 | -0.199935 | 0.202154 | -0.009641 | 0.104608 | -0.152976 | -0.044807 | -0.120002 | -0.284252 | 0.405395 | 0.059907 | -0.09443 | 0.201706 | 0.072036 | 0.052569 | 0.689025 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.011024 | -0.034978 | -0.011542 | 0.011112 | 0.131294 | 0.016397 | -0.04942 | -0.052366 | 0.01662 | -0.05313 | -0.032698 | -0.23793 | 0.077927 | 0.181161 | 0.273024 | 0.726374 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.060111 | -0.075221 | 0.005515 | -0.009682 | 0.031793 | 0.002126 | 0.051555 | 0.043483 | -0.027963 | -0.047849 | -0.002948 | -0.209815 | 0.039978 | 0.018057 | 0.208049 | 0.874693 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.00544 | 0.006257 | -0.002617 | -0.046143 | 0.045586 | 0.016492 | 0.018657 | 0.000959 | 0.084438 | -0.056917 | -0.084977 | -0.167401 | 0.030196 | -0.038546 | 0.280844 | 0.883927 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.058577 | -0.071806 | 0.077125 | -0.127086 | 0.067367 | 0.077172 | -0.00896 | -0.127994 | 0.040931 | 0.09047 | 0.141353 | -0.234288 | 0.040462 | -0.446221 | 0.259462 | 1.146601 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.03663 | 0.138175 | -0.046926 | -0.08458 | 0.065514 | -0.050321 | 0.069496 | -0.073965 | 0.175087 | -0.054505 | -0.092391 | -0.132528 | 0.064827 | -0.022354 | 0.216872 | 0.839408 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.026391 | 0.054214 | 0.066113 | -0.18026 | 0.122747 | -0.003053 | -0.00938 | -0.077131 | 0.085764 | 0.051678 | 0.077578 | -0.315867 | 0.110762 | -0.17367 | 0.080654 | 1.121716 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.043625 | -0.011597 | -0.05018 | 0.013248 | 0.00327 | 0.029194 | 0.04262 | -0.044813 | 0.061154 | -0.010309 | -0.020218 | -0.15878 | -0.077702 | -0.110902 | 0.326732 | 0.940135 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.020328 | -0.028269 | -0.002506 | -0.04527 | 0.172563 | -0.048881 | -0.012295 | -0.134898 | 0.09661 | 0.001286 | -0.096477 | -0.250951 | 0.367263 | 0.12864 | 0.148209 | 0.651405 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.00458 | 0.008326 | 0.027053 | -0.08848 | 0.067816 | 0.01072 | -0.049812 | 0.054086 | 0.083126 | -0.052342 | 0.0047 | -0.348005 | 0.266045 | -0.164544 | 0.075832 | 1.066478 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.041994 | -0.026836 | 0.007557 | -0.035393 | 0.030309 | 0.04948 | 0.00437 | -0.053111 | 0.120778 | -0.076402 | -0.043029 | -0.192543 | 0.088358 | -0.037333 | 0.386632 | 0.708089 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.005404 | -0.050156 | -0.007511 | 0.059409 | 0.099323 | 0.040413 | -0.026486 | -0.038734 | -0.191325 | -0.02056 | 0.031652 | -0.057945 | 0.078603 | -0.006724 | 0.219635 | 0.846337 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.035941 | -0.060691 | -0.003575 | -0.001503 | 0.052957 | 0.041296 | 0.060955 | -0.027829 | -0.025006 | 0.061541 | -0.143714 | -0.422298 | 0.500487 | -0.251043 | 0.202296 | 0.96039 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.045561 | 0.040327 | -0.049568 | -0.040728 | 0.014045 | 0.010492 | -0.011196 | 0.054925 | -0.016314 | -0.037079 | -0.055262 | -0.08277 | -0.106775 | 0.151671 | 0.435403 | 0.612594 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.022475 | 0.024616 | 0.09709 | -0.080242 | -0.075182 | 0.054471 | -0.114776 | 0.172928 | 0.058654 | -0.024654 | -0.148034 | -0.220181 | 0.17297 | 0.307619 | 0.085594 | 0.612886 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.021436 | 0.023722 | -0.030629 | -0.093931 | 0.062134 | 0.071672 | 0.022841 | -0.082826 | 0.071282 | 0.015737 | -0.076325 | -0.177544 | 0.09721 | -0.133485 | 0.044876 | 1.148346 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.01249 | -0.041092 | 0.042078 | 0.050053 | 0.021804 | -0.023427 | -0.016151 | -0.08358 | 0.121428 | -0.064015 | -0.037371 | -0.132041 | 0.209803 | -0.043846 | 0.175735 | 0.771091 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.022389 | 0.003826 | -0.051792 | 0.055939 | -0.00056 | -0.031768 | 0.003242 | 0.010442 | 0.017434 | 0.019077 | -0.008088 | 0.029267 | -0.067566 | -0.263632 | 0.03525 | 1.18399 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.000471 | -0.032818 | 0.035597 | 0.019247 | 0.034345 | 0.021859 | 0.029782 | -0.08502 | 0.054482 | -0.074614 | -0.055261 | -0.111956 | 0.090929 | -0.042583 | 0.322006 | 0.761582 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.042323 | -0.033115 | 0.071846 | -0.148857 | 0.025991 | 0.047828 | 0.039062 | -0.115269 | 0.283165 | -0.050206 | -0.092008 | -0.376262 | 0.205369 | -0.050489 | 0.048313 | 1.083156 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.026808 | -0.002245 | 0.022277 | -0.008939 | 0.025819 | -0.028628 | -0.036109 | 0.14451 | -0.053697 | -0.098113 | -0.139897 | -0.13775 | 0.287604 | 0.18866 | 0.137631 | 0.629043 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.011515 | 0.042124 | 0.024578 | -0.000755 | 0.030426 | -0.060736 | -0.161164 | -0.096895 | 0.23612 | -0.038611 | 0.021149 | -0.251918 | 0.302711 | -0.013615 | 0.241056 | 0.684616 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.047074 | -0.005885 | -0.037039 | -0.033899 | 0.026002 | 0.032328 | 0.050044 | -0.019004 | 0.043109 | -0.030036 | -0.128238 | -0.203995 | 0.007569 | 0.150629 | 0.346179 | 0.727384 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.01133 | 0.018072 | 0.101041 | -0.123986 | 0.116938 | -0.009546 | -0.312136 | 0.149556 | 0.088258 | 0.0475 | 0.060484 | -0.2918 | 0.237948 | 0.021955 | -0.043666 | 0.90574 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.024037 | 0.065234 | 0.009815 | -0.065795 | 0.029599 | 0.007777 | 0.011154 | -0.142247 | 0.190587 | 0.065701 | -0.018798 | -0.251279 | 0.082484 | -0.192951 | 0.015588 | 1.185993 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.078433 | -0.019103 | -0.038677 | -0.064092 | 0.052658 | -0.000775 | 0.013423 | 0.055429 | 0.072489 | -0.073593 | -0.014974 | -0.12217 | -0.123879 | -0.048471 | 0.377741 | 0.817215 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.031976 | -0.058641 | 0.048078 | -0.030914 | 0.011354 | 0.010481 | 0.047728 | -0.172707 | 0.18195 | 0.108055 | -0.023838 | -0.363874 | 0.155206 | -0.175342 | -0.073621 | 1.279914 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.022588 | -0.06314 | 0.152244 | -0.048477 | 0.052538 | -0.088727 | 0.031974 | -0.126971 | 0.227204 | 0.139709 | -0.252338 | -0.321218 | 0.301636 | -0.019045 | 0.148696 | 0.859772 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.013614 | 0.045375 | -0.026451 | -0.11454 | 0.143333 | -0.041621 | 0.03704 | -0.114032 | 0.117004 | -0.035847 | 0.156325 | -0.197537 | 0.015577 | -0.190895 | -0.100907 | 1.260158 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.044319 | 0.005917 | -0.057334 | 0.01864 | -0.010006 | 0.015491 | 0.039896 | 0.042104 | 0.010366 | -0.120434 | -0.090571 | -0.037765 | -0.016035 | 0.10568 | 0.367326 | 0.648441 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.031425 | -0.013703 | -0.033584 | -0.00344 | 0.020801 | 0.018669 | -0.00073 | 0.0284 | 0.08981 | -0.022096 | -0.067872 | -0.298034 | 0.013955 | -0.03333 | 0.462099 | 0.774002 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.024466 | -0.02328 | 0.093602 | -0.009173 | 0.077246 | -0.063465 | -0.126341 | -0.038121 | 0.190794 | 0.054416 | 0.038763 | -0.350384 | 0.08849 | -0.022847 | -0.089933 | 1.178287 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.013118 | 0.007118 | -0.009846 | -0.007287 | -0.008082 | -0.00804 | 0.036293 | 0.082575 | -0.053404 | 0.011225 | -0.073918 | -0.113194 | -0.002758 | -0.06545 | 0.344063 | 0.748191 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.009463 | -0.03094 | 0.058173 | 0.014628 | 0.03334 | 0.035632 | 0.035935 | -0.10198 | 0.013098 | -0.066909 | -0.0499 | -0.109823 | 0.133288 | 0.050965 | 0.353142 | 0.625548 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.020888 | 0.010963 | 0.057921 | 0.032636 | 0.07473 | 0.024191 | -0.010484 | -0.043722 | -0.128365 | -0.088561 | -0.028723 | -0.07419 | 0.482871 | 0.111633 | 0.063942 | 0.449102 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.013655 | -0.055063 | 0.051368 | 0.034221 | -0.022909 | -0.010178 | 0.019491 | -0.002404 | 0.079698 | -0.007274 | -0.038284 | -0.448265 | 0.21501 | -0.065576 | 0.469227 | 0.738744 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.010764 | 0.041424 | -0.062472 | -0.040311 | 0.066868 | 0.054921 | 0.020939 | -0.022292 | -0.024295 | -0.052081 | -0.032351 | -0.159744 | -0.012613 | -0.03034 | 0.317454 | 0.905755 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.015416 | 0.080196 | -0.064014 | 0.014087 | 0.03019 | -0.043313 | 0.000375 | -0.029205 | 0.102476 | 0.022117 | 0.048658 | -0.220702 | -0.077046 | -0.119132 | 0.191365 | 1.05059 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.021403 | 0.025286 | 0.054926 | -0.02876 | 0.033237 | -0.037342 | 0.029336 | -0.002367 | 0.033815 | -0.04825 | 0.022475 | -0.166559 | 0.068525 | 0.049033 | 0.246185 | 0.699558 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.022248 | 0.00504 | -0.017632 | -0.020299 | 0.054892 | -0.023758 | -0.010753 | 0.003934 | 0.010789 | 0.086556 | -0.051312 | -0.149744 | -0.075766 | -0.047122 | 0.312347 | 0.876945 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.029184 | -0.014233 | 0.018276 | -0.032182 | 0.008815 | 0.025397 | -0.01532 | -0.063131 | 0.126037 | -0.003507 | 0.095905 | -0.261932 | 0.098287 | -0.365109 | 0.297197 | 1.02855 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.084061 | -0.167228 | 0.111619 | -0.053232 | 0.08955 | -0.03625 | -0.007961 | -0.046162 | 0.083335 | 0.055331 | 0.055917 | -0.349606 | 0.131639 | -0.020226 | -0.126253 | 1.173806 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.096594 | 0.030835 | -0.114115 | -0.384179 | 0.385037 | 0.025209 | 0.072412 | -0.065028 | -0.038432 | -0.028719 | 0.079259 | -0.097308 | 0.039847 | -0.021344 | 0.061684 | 0.921784 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.023298 | 0.027501 | 0.003735 | -0.107803 | 0.030068 | -0.02599 | 0.062935 | 0.051586 | 0.071906 | 0.01414 | -0.09321 | -0.255917 | 0.042822 | -0.081977 | 0.14102 | 1.065995 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.043294 | -0.057592 | 0.058901 | -0.051422 | -0.00196 | 0.049122 | -0.01317 | -0.005244 | 0.028077 | -0.00044 | 0.047242 | -0.117024 | 0.040331 | -0.335854 | 0.204849 | 1.072338 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.029536 | 0.046266 | -0.046553 | -0.125143 | 0.034277 | 0.131674 | -0.039501 | -0.039024 | 0.147352 | 0.005788 | -0.104731 | -0.260878 | -0.010141 | -0.001662 | 0.302292 | 0.909032 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.045117 | -0.033591 | 0.002121 | -0.096616 | 0.132386 | -0.001056 | 0.047558 | -0.043626 | 0.045322 | -0.058529 | 0.032025 | -0.230674 | 0.045596 | -0.015972 | 0.25601 | 0.844039 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.043723 | -0.076781 | 0.060925 | -0.009646 | -0.002075 | 0.000471 | 0.002067 | -0.027238 | 0.08152 | 0.035794 | 0.006629 | -0.199096 | -0.036107 | -0.179603 | 0.265697 | 1.004094 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.011824 | 0.046009 | 0.017206 | 0.005733 | 0.0091 | 0.023301 | -0.023355 | -0.045686 | 0.009949 | -0.010975 | -0.032047 | 0.025566 | 0.079678 | 0.162631 | 0.232552 | 0.455739 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.002402 | -0.023094 | 0.018377 | -0.018068 | 0.0694 | -0.051267 | 0.078271 | -0.00813 | 0.032363 | -0.047203 | -0.043779 | -0.147027 | 0.068551 | -0.047194 | 0.350103 | 0.730648 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.040878 | -0.056853 | 0.072516 | -0.115349 | 0.087388 | 0.04106 | -0.079587 | -0.07863 | 0.171982 | 0.059094 | -0.019051 | -0.218024 | 0.122122 | -0.345324 | 0.072668 | 1.224389 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.017805 | -0.030216 | 0.055578 | -0.044378 | 0.058095 | -0.026066 | -0.034432 | -0.039198 | 0.000891 | 0.179306 | 0.131293 | -0.309626 | 0.0188 | -0.403433 | 0.31188 | 1.089411 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.032146 | 0.008194 | -0.020964 | -0.04341 | 0.031422 | -0.015691 | 0.063315 | 0.02505 | 0.007939 | -0.024565 | -0.031503 | -0.113637 | -0.089746 | -0.040644 | 0.270535 | 0.905721 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.048221 | 0.077508 | 0.012188 | -0.13086 | 0.210513 | -0.002692 | 0.041788 | -0.25242 | 0.106141 | -0.056241 | -0.02481 | -0.189534 | 0.159427 | -0.065251 | 0.251977 | 0.887056 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.088029 | -0.149264 | 0.045698 | -0.044568 | 0.088718 | 0.090783 | -0.002618 | -0.144989 | -0.00647 | 0.134054 | 0.045273 | -0.197954 | -0.003219 | -0.237935 | 0.352764 | 0.910289 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.058718 | -0.042597 | -0.022242 | 0.014692 | 0.031213 | -0.008169 | 0.024799 | -0.058802 | 0.111278 | 0.013104 | -0.054742 | -0.259773 | 0.157013 | -0.165203 | 0.255121 | 0.92667 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.03672 | -0.023802 | 0.024679 | -0.043643 | 0.082272 | -0.09428 | 0.024232 | -0.05705 | 0.121596 | 0.059467 | 0.070038 | -0.259212 | -0.026325 | -0.206752 | 0.139149 | 1.132069 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.005645 | 0.033188 | -0.02197 | -0.026689 | 0.076677 | -0.0282 | -0.140814 | -0.027233 | 0.172038 | 0.208582 | -0.021579 | -0.271482 | -0.179426 | -0.223632 | 0.340568 | 1.074303 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.043205 | -0.040017 | -0.017483 | -0.011273 | 0.051933 | 0.027188 | -0.01083 | -0.05432 | 0.156006 | -0.017407 | -0.063194 | -0.345798 | 0.14493 | -0.084139 | 0.366779 | 0.830025 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.02475 | -0.054648 | 0.022512 | 0.019016 | -0.048954 | 0.107099 | 0.01234 | -0.064871 | -0.009785 | 0.068299 | 0.041227 | -0.291874 | 0.155494 | -0.381337 | 0.447692 | 0.920975 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.042895 | -0.077085 | 0.0252 | -0.0774 | 0.111396 | 0.054346 | -0.016307 | -0.033054 | 0.061895 | -0.044473 | -0.014237 | -0.234032 | 0.131611 | -0.159781 | 0.362721 | 0.83958 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.004583 | -0.038724 | 0.042599 | 0.015793 | 0.078121 | 0.014992 | -0.044123 | -0.072932 | 0.085949 | -0.073951 | -0.040888 | -0.252367 | 0.206804 | -0.031579 | 0.393959 | 0.706907 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.03292 | -0.014045 | -0.059117 | 0.040053 | 0.012884 | -0.002795 | 0.052948 | 0.016656 | -0.004769 | 0.039779 | -0.096845 | -0.168543 | 0.013607 | -0.054306 | 0.196196 | 0.963588 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.101647 | 0.006351 | -0.008289 | -0.031245 | 0.250694 | 0.04265 | 0.056049 | -0.186421 | 0.064713 | -0.117066 | -0.092173 | -0.276994 | 0.302986 | -0.079204 | 0.19661 | 0.949528 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.057501 | -0.110061 | 0.089932 | -0.124474 | 0.12565 | 0.063848 | -0.047597 | -0.053349 | 0.150243 | 0.011036 | -0.099392 | -0.232904 | 0.072173 | 0.047808 | 0.150916 | 0.883326 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.071435 | -0.01506 | -0.106093 | -0.033295 | 0.072091 | 0.134994 | -0.032036 | -0.106253 | 0.00648 | 0.13399 | 0.009557 | -0.268246 | 0.055638 | -0.093443 | 0.14382 | 1.005123 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.005302 | 0.004333 | -0.01741 | -0.002984 | 0.025893 | 0.064066 | -0.025406 | 0.016048 | -0.026357 | -0.035722 | -0.112582 | -0.083827 | 0.013187 | 0.092293 | 0.32391 | 0.733616 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.024951 | 0.014956 | 0.038899 | -0.057175 | -0.075061 | 0.030828 | -0.005079 | -0.001826 | 0.16319 | 0.037909 | -0.071843 | -0.183555 | -0.070556 | -0.142963 | 0.163295 | 1.103153 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.019699 | -0.005372 | -0.018371 | -0.036478 | 0.090782 | -0.020941 | 0.030946 | 0.01998 | 0.043788 | -0.051809 | -0.058836 | -0.215192 | 0.078944 | -0.008083 | 0.42868 | 0.673162 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.071488 | -0.035663 | -0.043951 | -0.04648 | 0.055272 | 0.086468 | -0.085787 | -0.045725 | 0.196189 | 0.05324 | -0.123083 | -0.217968 | -0.099636 | -0.041171 | 0.385628 | 0.860262 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.003505 | 0.065532 | -0.035153 | -0.051114 | -0.006021 | 0.086769 | 0.005833 | -0.013693 | 0.071568 | 0.029981 | -0.16792 | -0.198023 | 0.064692 | 0.102555 | 0.160429 | 0.85757 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.05272 | -0.033493 | -0.030412 | -0.031621 | 0.047681 | 0.068638 | -0.051721 | -0.035482 | 0.147171 | 0.038493 | -0.19883 | -0.326242 | 0.269857 | -0.234671 | 0.473871 | 0.818985 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.020541 | -0.055219 | 0.053443 | 0.005065 | 0.053503 | -0.024846 | -0.004746 | -0.039078 | 0.087784 | -0.05784 | -0.058423 | -0.146166 | 0.094008 | -0.014676 | 0.413348 | 0.648798 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.018665 | -0.010049 | 0.021514 | -0.006677 | 0.042455 | -0.032112 | 0.024034 | -0.066983 | 0.021612 | 0.008646 | 0.176432 | -0.262062 | 0.034473 | -0.117531 | 0.122245 | 0.99008 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.036403 | -0.006463 | -0.096538 | 0.026499 | 0.063928 | 0.072838 | -0.060842 | 0.015217 | 0.065704 | -0.029951 | -0.166761 | -0.187337 | 0.053882 | 0.052383 | 0.241433 | 0.897911 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.08171 | -0.055172 | 0.041705 | -0.08315 | 0.032996 | -0.02817 | -0.011189 | 0.024175 | 0.105192 | -0.059919 | -0.073772 | -0.142244 | 0.090922 | -0.065705 | 0.310383 | 0.798607 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.008002 | 0.045652 | -0.034531 | -0.096759 | 0.073259 | 0.06736 | -0.021757 | -0.005692 | 0.058016 | -0.080167 | -0.000121 | -0.154333 | 0.066364 | -0.08602 | 0.182071 | 0.954498 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.050504 | -0.0359 | 0.027123 | -0.015188 | 0.012524 | 0.006431 | 0.003749 | 0.007697 | 0.035433 | -0.009706 | -0.035974 | -0.107502 | -0.000235 | 0.000541 | 0.340988 | 0.674029 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.046986 | -0.026735 | -0.013857 | -0.005559 | 0.039919 | -0.011972 | -0.012505 | -0.031916 | 0.112903 | 0.002491 | 0.044546 | -0.257833 | 0.091025 | -0.166002 | 0.166796 | 0.983336 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.057385 | -0.125638 | 0.150826 | -0.076465 | -0.023869 | 0.058089 | -0.062053 | 0.06466 | 0.043397 | 0.139258 | -0.1075 | -0.568213 | 0.519669 | -0.237258 | 0.158484 | 0.980093 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.014655 | 0.018614 | -0.001373 | -0.008682 | -0.035333 | 0.020366 | 0.021685 | -0.012226 | 0.087849 | 0.067966 | -0.145597 | -0.158161 | -0.05746 | 0.050889 | 0.214073 | 0.891754 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.065459 | -0.120091 | 0.10474 | -0.045997 | 0.038065 | -0.047799 | 0.023269 | 0.021578 | 0.065904 | -0.014742 | 0.025909 | -0.314993 | 0.158225 | -0.093919 | 0.181161 | 0.92171 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.02747 | -0.04505 | 0.030301 | -0.003036 | 0.021076 | -0.004478 | -0.02827 | -0.00128 | 0.134406 | 0.016599 | -0.070739 | -0.293385 | 0.150239 | -0.269391 | 0.357771 | 0.954902 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.05019 | 0.008343 | 0.035621 | -0.155514 | 0.169412 | -0.093933 | -0.052599 | -0.072744 | 0.191624 | -0.072764 | -0.062114 | -0.331418 | 0.251381 | 0.237876 | 0.127623 | 0.745261 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.028742 | -0.100683 | 0.119278 | -0.073455 | 0.062661 | -0.027847 | 0.094725 | -0.112326 | 0.065378 | -0.047786 | 0.06401 | -0.168085 | -0.031281 | -0.061843 | 0.212972 | 0.954378 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.048382 | 0.031194 | 0.066517 | -0.059964 | 0.084445 | 0.050817 | -0.137098 | -0.052245 | 0.123822 | -0.065138 | -0.082074 | -0.184314 | 0.210265 | -0.020553 | 0.213561 | 0.84802 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.014751 | 0.006493 | -0.019664 | 0.004988 | 0.028227 | 0.013304 | 0.01648 | -0.005039 | 0.039455 | -0.137295 | 0.032405 | -0.204857 | 0.096573 | -0.085961 | 0.434874 | 0.735476 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.019312 | -0.017321 | 0.037063 | 0.004566 | 0.013272 | 0.023405 | 0.01082 | -0.008076 | 0.104316 | 0.019944 | -0.272234 | -0.28205 | 0.254751 | -0.185728 | 0.589545 | 0.699324 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.003738 | -0.044262 | 0.067875 | -0.02351 | 0.043506 | 0.038961 | -0.101068 | -0.086032 | 0.200006 | 0.053897 | 0.022683 | -0.363905 | 0.126564 | -0.212171 | 0.284083 | 0.961778 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.007892 | -0.018429 | -0.031471 | 0.025588 | 0.163688 | -0.039287 | -0.014803 | -0.156901 | 0.131819 | -0.142545 | 0.093591 | -0.287415 | 0.269555 | 0.295183 | 0.036807 | 0.623946 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.051939 | -0.021443 | -0.012176 | -0.058961 | 0.020463 | 0.02211 | 0.078418 | -0.09383 | 0.138995 | -0.018758 | -0.072967 | -0.16159 | 0.012352 | -0.100034 | 0.179785 | 1.006144 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.001804 | 0.053035 | 0.007653 | -0.199389 | 0.062886 | 0.19894 | -0.083901 | 0.034063 | 0.066775 | -0.080923 | -0.007606 | -0.432962 | 0.310856 | -0.175516 | 0.218551 | 1.005855 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.016711 | -0.002366 | 0.002287 | -0.030215 | 0.037496 | 0.015565 | 0.04741 | -0.063121 | 0.07353 | -0.0434 | -0.157294 | -0.063535 | 0.02933 | 0.055001 | 0.106695 | 0.953447 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.018473 | 0.029103 | 0.02735 | -0.005834 | 0.039045 | -0.035022 | -0.004094 | -0.14666 | 0.181378 | -0.001526 | 0.046218 | -0.291408 | 0.21352 | -0.271823 | 0.296914 | 0.924118 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.018222 | -0.021937 | 0.020552 | -0.009765 | 0.013364 | -0.015913 | 0.011375 | -0.064308 | 0.026839 | -0.032188 | 0.006114 | -0.072949 | 0.046077 | -0.022638 | 0.106779 | 0.976447 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.042499 | -0.001048 | 0.016425 | -0.109841 | 0.073032 | -0.031458 | 0.034841 | -0.048289 | 0.092828 | 0.036213 | 0.065607 | -0.161278 | -0.130296 | -0.301897 | 0.352785 | 1.043872 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.000921 | -0.041635 | 0.047398 | 0.0014 | 0.066742 | 0.063762 | -0.059387 | -0.17249 | 0.134518 | 0.023192 | -0.143781 | -0.258264 | 0.305054 | -0.123322 | 0.227013 | 0.911939 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.059957 | -0.018294 | 0.050487 | -0.109843 | 0.028933 | -0.029721 | 0.136976 | -0.090096 | 0.094268 | -0.065178 | -0.048928 | -0.117926 | 0.095115 | -0.012938 | 0.267632 | 0.74837 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.01509 | -0.001691 | -0.001663 | -0.113775 | 0.13097 | 0.076792 | 0.022827 | -0.073 | 0.008103 | -0.167665 | 0.076025 | -0.145988 | 0.14016 | -0.077333 | 0.1822 | 0.903339 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.008804 | 0.026959 | 0.026426 | -0.060414 | -0.00364 | 0.005567 | -0.024532 | -0.047418 | 0.185988 | 0.040429 | -0.023012 | -0.190826 | -0.03762 | -0.247329 | 0.17215 | 1.142266 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.029361 | 0.027883 | -0.03003 | -0.031383 | -0.05095 | 0.075654 | 0.022915 | -0.002678 | 0.044224 | -0.014263 | -0.084218 | -0.300437 | 0.173451 | -0.016683 | 0.282107 | 0.855041 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.021067 | -0.027547 | 0.060387 | -0.010585 | -0.01338 | -0.046658 | -0.006519 | -0.017905 | 0.173438 | 0.029598 | 0.007682 | -0.355068 | 0.035691 | -0.062442 | 0.247857 | 0.933318 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.037119 | -0.008718 | -0.00693 | -0.0485 | 0.036879 | 0.020927 | 0.0011 | -0.033331 | 0.11729 | -0.000734 | -0.033665 | -0.155252 | -0.036311 | -0.141766 | 0.231018 | 1.000283 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.001118 | -0.003564 | 0.016867 | 0.007243 | 0.055688 | -0.004492 | -0.007243 | -0.024344 | 0.074045 | -0.037996 | -0.047757 | -0.258589 | 0.172404 | -0.046419 | 0.342517 | 0.737506 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.040661 | -0.053319 | -0.060551 | 0.027978 | 0.131417 | 0.110172 | -0.051725 | -0.119297 | -0.090817 | -0.02308 | -0.024014 | -0.03235 | 0.056434 | 0.005997 | 0.212917 | 0.84296 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.005549 | -0.077818 | 0.071868 | -0.010121 | 0.08099 | -0.027176 | -0.002715 | -0.079147 | 0.113399 | -0.053622 | 0.029315 | -0.200069 | 0.062291 | -0.126835 | 0.226108 | 0.966195 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.023416 | 0.045129 | -0.000781 | -0.133412 | 0.021706 | 0.062059 | 0.026518 | -0.051683 | 0.091772 | 0.073296 | -0.162642 | -0.173947 | 0.038727 | 0.006819 | 0.006927 | 1.101997 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.003367 | -0.005385 | -0.018718 | -0.036172 | 0.055792 | 0.113861 | -0.030716 | -0.066541 | 0.097665 | -0.011835 | -0.08086 | -0.300784 | 0.225878 | -0.226567 | 0.417341 | 0.837311 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.060304 | -0.003189 | -0.111096 | -0.049964 | 0.142811 | 0.042782 | -0.04429 | -0.056377 | 0.053919 | 0.078697 | -0.084276 | -0.168906 | -0.035896 | -0.07499 | 0.25376 | 0.970166 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.040289 | -0.073248 | 0.11492 | -0.16261 | 0.120563 | -0.017993 | 0.033716 | -0.038751 | 0.06296 | -0.025102 | 0.040569 | -0.242239 | 0.12443 | -0.15397 | 0.066248 | 1.087063 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.041967 | 0.015371 | 0.085768 | -0.006743 | -0.016057 | -0.065455 | -0.004315 | 0.054704 | 0.143606 | 0.088906 | -0.198905 | -0.423662 | 0.377178 | -0.132138 | 0.336023 | 0.755393 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.105117 | -0.020623 | -0.100392 | -0.055643 | 0.081792 | 0.108686 | -0.04109 | -0.101864 | 0.006471 | 0.057205 | -0.085897 | -0.15355 | 0.059512 | -0.021397 | 0.273128 | 0.869601 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.080745 | -0.001446 | -0.099342 | -0.017205 | 0.065527 | 0.012905 | -0.039362 | 0.04464 | 0.064228 | -0.084089 | -0.077652 | -0.17566 | 0.060613 | 0.047996 | 0.306935 | 0.778246 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.047103 | -0.028885 | -0.016517 | 0.025598 | 0.059377 | -0.053694 | 0.018529 | -0.052583 | 0.075975 | -0.020988 | -0.018408 | -0.104562 | 0.031481 | -0.035179 | 0.330476 | 0.720127 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.037781 | -0.115419 | 0.038691 | 0.086121 | 0.069096 | -0.030521 | -0.008499 | -0.088386 | 0.028893 | -0.04186 | -0.057159 | -0.171561 | 0.174072 | 0.049645 | 0.288424 | 0.714056 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.016783 | -0.012308 | 0.031997 | -0.030217 | 0.032894 | -0.056018 | 0.013914 | -0.015221 | 0.035383 | 0.088947 | 0.070637 | -0.178582 | -0.119046 | -0.187564 | 0.092648 | 1.184103 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.095328 | -0.130409 | -0.003638 | -0.005298 | 0.107225 | 0.055328 | -0.010191 | -0.063667 | -0.13808 | 0.109556 | 0.182056 | -0.28226 | -0.006293 | -0.0478 | 0.110132 | 0.997811 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.007573 | 0.01592 | 0.032387 | -0.042558 | -0.055769 | 0.025193 | -0.007358 | 0.00373 | 0.170987 | -0.022878 | -0.137162 | -0.203784 | 0.017959 | 0.141019 | 0.12647 | 0.910965 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.014826 | 0.012437 | -0.036141 | -0.022163 | 0.156294 | -0.024847 | 0.064239 | -0.180443 | 0.079037 | 0.073827 | -0.171038 | -0.32625 | 0.401882 | -0.181972 | 0.212442 | 0.935176 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.05761 | -0.049401 | 0.008551 | -0.084107 | 0.128043 | -0.017942 | -0.003594 | -0.094003 | 0.140683 | 0.026444 | 0.013332 | -0.232536 | 0.014873 | -0.207778 | 0.277698 | 1.004852 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.002944 | 0.053992 | -0.05544 | -0.073748 | 0.082671 | 0.021244 | 0.047005 | -0.102302 | 0.117929 | -0.040256 | -0.031364 | -0.2305 | 0.07928 | 0.019927 | 0.116147 | 0.975796 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.041962 | 0.00134 | -0.059011 | -0.084537 | 0.101194 | 0.042012 | 0.015935 | -0.067597 | 0.113221 | -0.007768 | -0.060263 | -0.144897 | -0.112561 | -0.013415 | 0.357949 | 0.856259 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.012069 | -0.004673 | 0.067761 | -0.045123 | 0.063764 | 0.059264 | -0.070158 | -0.048072 | 0.013892 | -0.017078 | -0.076634 | -0.186438 | 0.196229 | -0.120843 | 0.435948 | 0.70855 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.026026 | 0.017338 | -0.067061 | -0.086249 | 0.236975 | 0.119618 | -0.002373 | -0.169684 | -0.005592 | -0.094523 | 0.090327 | -0.15228 | 0.035266 | -0.130305 | 0.265482 | 0.941067 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.015114 | -0.009812 | 0.081248 | -0.036269 | 0.018859 | -0.017875 | 0.044084 | -0.085744 | 0.115538 | -0.113896 | -0.102873 | -0.172771 | 0.223057 | -0.015786 | 0.267392 | 0.803271 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.007575 | -0.009283 | 0.018001 | 0.029069 | -0.005007 | -0.022002 | 0.036614 | -0.044691 | 0.006117 | 0.042053 | -0.108937 | -0.141883 | 0.019308 | 0.084415 | 0.375224 | 0.68969 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.029815 | 0.019705 | -0.02783 | -0.001971 | 0.062376 | 0.088982 | -0.060142 | -0.045749 | 0.069249 | 0.015172 | -0.092432 | -0.209543 | 0.100367 | -0.125288 | 0.229778 | 0.989324 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.010406 | -0.026262 | 0.086423 | -0.069845 | 0.037342 | -0.047258 | 0.010546 | -0.003532 | 0.106455 | 0.01156 | 0.00723 | -0.21984 | -0.019661 | -0.061131 | 0.237383 | 0.924083 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.001965 | 0.039196 | -0.004593 | -0.098682 | 0.057056 | 0.075634 | -0.044058 | -0.017327 | 0.101268 | -0.003275 | -0.034239 | -0.205989 | -0.063885 | -0.052183 | 0.24712 | 0.98551 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.009709 | 0.047011 | -0.025996 | -0.041665 | -0.005833 | 0.009168 | -0.027735 | 0.019914 | 0.161974 | 0.001612 | -0.041057 | -0.209143 | -0.127926 | -0.089282 | 0.271247 | 1.026726 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.038163 | 0.024223 | -0.010918 | -0.150861 | 0.081213 | 0.035222 | 0.048928 | -0.089706 | 0.099124 | 0.075711 | -0.054527 | -0.20908 | -0.025892 | -0.108226 | 0.135811 | 1.090477 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.012531 | 0.034682 | 0.017748 | -0.085021 | 0.001142 | 0.063199 | -0.056757 | -0.056494 | 0.105874 | 0.119728 | -0.028909 | -0.135215 | -0.209318 | -0.134602 | 0.303557 | 1.019992 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.055643 | -0.060026 | 0.011199 | 0.006423 | 0.009513 | -0.026638 | 0.023781 | -0.003244 | 0.148024 | -0.01214 | -0.111598 | -0.225719 | 0.118302 | -0.081447 | 0.142793 | 0.972498 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.025663 | 0.005006 | -0.006439 | -0.094186 | 0.03266 | 0.081547 | 0.059269 | -0.114635 | 0.045073 | -0.01939 | 0.021356 | 0.071234 | -0.200001 | -0.285833 | 0.124318 | 1.229889 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.022149 | -0.04235 | -0.020818 | 0.034799 | 0.071414 | 0.036451 | 0.013369 | -0.044554 | 0.019547 | -0.012634 | -0.106523 | -0.235963 | 0.220697 | -0.048924 | 0.248743 | 0.822421 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.018411 | 0.052504 | -0.029711 | -0.108075 | 0.042548 | 0.014329 | 0.045647 | -0.021038 | 0.090736 | 0.043719 | -0.047865 | -0.212243 | -0.087085 | -0.072213 | 0.306195 | 0.94583 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.014788 | 0.002305 | -0.039274 | -0.037756 | 0.134311 | 0.030617 | -0.06166 | -0.115376 | 0.165771 | -0.018395 | 0.012837 | -0.335129 | 0.153788 | -0.134192 | 0.273171 | 0.937316 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.033198 | 0.007575 | -0.048681 | 0.004808 | -0.004234 | 0.036439 | -0.015983 | -0.017775 | 0.098013 | 0.017612 | -0.053052 | -0.096809 | -0.186049 | -0.069916 | 0.311174 | 0.944578 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.033393 | -0.037913 | -0.011534 | 0.079841 | -0.058593 | 0.051529 | 0.060666 | -0.094477 | 0.02689 | -0.001421 | -0.095444 | 0.045172 | -0.026528 | 0.230184 | -0.447138 | 1.206835 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.046112 | -0.022863 | -0.043065 | -0.026477 | 0.072777 | 0.06727 | -0.063836 | -0.073969 | 0.098407 | 0.064258 | -0.013475 | -0.112422 | -0.177899 | -0.16192 | 0.504362 | 0.802994 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.033995 | -0.035644 | 0.00454 | 0.002997 | 0.02429 | 0.016162 | -0.022324 | -0.018157 | 0.110396 | 0.058508 | -0.214849 | -0.318079 | 0.287607 | -0.180436 | 0.623089 | 0.595482 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.017522 | 0.010227 | -0.015517 | -0.020335 | 0.030664 | 0.025912 | -0.069898 | -0.00903 | 0.094466 | 0.01754 | 0.097506 | -0.209434 | -0.100117 | -0.210854 | 0.320691 | 0.99154 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.040087 | -0.011679 | 0.06433 | 0.004281 | 0.049255 | 0.00468 | 0.022119 | -0.031274 | 0.007872 | -0.098615 | -0.051085 | -0.242171 | 0.183916 | 0.073564 | 0.318855 | 0.721753 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.014119 | -0.02065 | 0.007504 | 0.001356 | 0.055592 | 0.045842 | -0.044827 | -0.001625 | 0.006659 | 0.002274 | 0.065904 | 0.059976 | 0.054314 | 0.069237 | 0.066763 | 0.566723 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.004054 | -0.021511 | 0.054313 | -0.032175 | 0.025937 | -0.012034 | -0.004323 | 0.052556 | 0.025172 | 0.031573 | -0.0367 | -0.333916 | 0.243135 | -0.181476 | 0.291132 | 0.86133 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.020252 | 0.031025 | -0.035727 | -0.021528 | 0.071156 | 0.012156 | 0.045396 | -0.119859 | 0.067668 | 0.140999 | -0.166444 | -0.260855 | 0.275678 | -0.331848 | 0.054851 | 1.228566 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.042154 | -0.034628 | 0.032271 | -0.074501 | 0.023143 | 0.025741 | 0.058461 | -0.083102 | 0.102386 | 0.001268 | -0.045591 | -0.201978 | 0.049884 | -0.093277 | 0.246646 | 0.932123 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.028333 | -0.043681 | 0.003789 | -0.07344 | 0.132942 | 0.074845 | -0.071999 | -0.027302 | 0.041998 | 0.015114 | 0.013794 | -0.246978 | 0.079263 | -0.209848 | 0.414933 | 0.835078 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.063309 | 0.103172 | -0.033818 | -0.0394 | 0.059958 | 0.030194 | 0.013871 | 0.03585 | 0.014753 | -0.032552 | -0.140262 | -0.242622 | 0.255275 | 0.010675 | 0.109763 | 0.889195 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.000817 | 0.043527 | -0.025466 | -0.038744 | 0.006584 | 0.02682 | 0.017104 | -0.007096 | 0.083095 | -0.01145 | -0.075688 | -0.144341 | -0.027476 | -0.019989 | 0.095002 | 1.055082 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.023709 | -0.012 | 0.032808 | -0.039401 | 0.066426 | 0.054415 | -0.029422 | -0.08055 | 0.078058 | -0.01489 | -0.057447 | -0.16402 | 0.066714 | -0.091444 | 0.232741 | 0.967665 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.077051 | -0.013986 | -0.044433 | -0.058186 | 0.048833 | 0.00992 | 0.068363 | -0.07647 | 0.080144 | 0.028009 | -0.066903 | -0.213567 | 0.091747 | 0.007244 | 0.097677 | 0.949904 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.012434 | 0.038524 | -0.016721 | -0.024799 | 0.000285 | -0.033953 | 0.068788 | 0.013975 | 0.10697 | -0.052414 | -0.104265 | -0.132084 | 0.024654 | -0.03741 | 0.250093 | 0.857346 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.023419 | 0.041568 | 0.026316 | -0.104085 | 0.132893 | -0.043702 | -0.011562 | -0.09261 | 0.127604 | 0.00518 | 0.012732 | -0.306746 | 0.093517 | -0.033627 | 0.247694 | 0.913705 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.032101 | -0.029759 | 0.012499 | -0.065986 | 0.062713 | 0.075406 | -0.038522 | -0.044433 | 0.125177 | -0.024725 | -0.069776 | -0.257908 | 0.186787 | -0.207697 | 0.345402 | 0.878036 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.084172 | -0.046973 | 0.002898 | -0.123352 | 0.084038 | 0.051826 | 0.016031 | -0.159529 | 0.236626 | -0.03424 | -0.034472 | -0.2605 | 0.01081 | -0.020866 | 0.278841 | 0.892929 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.018035 | -0.00486 | 0.055224 | -0.070307 | 0.028374 | -0.025091 | -0.025727 | 0.019096 | 0.139605 | 0.003501 | 0.026337 | -0.272849 | -0.054201 | -0.096467 | 0.306053 | 0.925682 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.11329 | -0.096876 | 0.028797 | -0.044582 | 0.035709 | 0.069961 | 0.010827 | -0.051503 | 0.000209 | -0.044822 | -0.052796 | 0.024889 | 0.053968 | 0.063522 | 0.068636 | 0.796279 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.019138 | 0.016432 | -0.009881 | -0.110994 | 0.09583 | 0.036807 | 0.00145 | -0.083852 | 0.125946 | -0.018403 | -0.024805 | -0.120225 | -0.021379 | -0.200882 | 0.191242 | 1.08702 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.013355 | 0.010449 | -0.035732 | -0.005942 | 0.064241 | -0.001384 | -0.003776 | -0.112393 | 0.145602 | 0.000761 | 0.0562 | -0.231986 | -0.052985 | -0.14175 | 0.40293 | 0.87438 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.113203 | 0.061499 | -0.021243 | -0.005905 | 0.108804 | 0.075091 | 0.105623 | -0.216362 | 0.198041 | -0.098402 | -0.209798 | -0.428607 | 0.436136 | -0.099645 | 0.229796 | 0.951887 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.070448 | -0.047012 | 0.03603 | -0.158439 | 0.114116 | 0.020769 | 0.033841 | -0.139036 | 0.133661 | 0.073542 | -0.029562 | -0.212385 | 0.02869 | -0.117033 | -0.001064 | 1.170654 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.036064 | -0.078547 | 0.050495 | -0.016725 | -0.014747 | 0.087852 | 0.049442 | 0.005079 | 0.014462 | -0.101561 | -0.151674 | -0.232117 | 0.235079 | -0.068712 | 0.41812 | 0.732872 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.007725 | -0.041682 | 0.060021 | -0.070747 | 0.007786 | 0.15338 | -0.018728 | -0.022239 | 0.083825 | -0.064848 | -0.247295 | -0.328701 | 0.42043 | -0.154493 | 0.361832 | 0.822066 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.023964 | -0.037571 | 0.087021 | -0.026546 | -0.022805 | -0.051714 | -0.011233 | 0.015008 | 0.14166 | 0.02715 | 0.001144 | -0.230491 | -0.090567 | -0.100167 | 0.309414 | 0.941571 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.01015 | 0.019662 | 0.028242 | -0.03675 | -0.031067 | -0.016583 | 0.087707 | 0.043732 | 0.025803 | -0.057216 | -0.130802 | -0.024696 | 0.063825 | 0.060676 | 0.217762 | 0.692463 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.053973 | -0.138047 | 0.048896 | 0.099511 | -0.034597 | 0.084756 | -0.054644 | -0.05827 | 0.041536 | 0.008716 | -0.05426 | -0.425146 | 0.407578 | -0.050899 | 0.295758 | 0.748424 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.003839 | -0.015594 | 0.029258 | 0.014267 | 0.033114 | 0.018136 | -0.007377 | -0.076745 | 0.03248 | 0.102306 | -0.007309 | -0.233687 | -0.086695 | -0.055751 | 0.500788 | 0.72691 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.073268 | -0.022714 | -0.09327 | 0.02037 | 0.032519 | -0.050179 | 0.038129 | 0.05538 | 0.090129 | 0.011763 | -0.125141 | -0.236983 | 0.034545 | -0.000805 | 0.200445 | 0.947175 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.025954 | -0.010828 | 0.113812 | -0.113255 | 0.087134 | -0.108576 | 0.035935 | -0.094903 | 0.140418 | -0.106044 | -0.112301 | -0.199385 | 0.435934 | 0.210239 | 0.084945 | 0.588224 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.051258 | -0.066692 | -0.009472 | 0.013624 | -0.048696 | 0.09371 | 0.07677 | -0.038431 | 0.02979 | 0.122896 | -0.327624 | -0.396376 | 0.502022 | -0.309565 | 0.425077 | 0.850784 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.012397 | -0.025314 | 0.006239 | 0.025547 | 0.029657 | -0.030719 | 0.025528 | -0.034809 | 0.120827 | 0.062069 | -0.184162 | -0.36001 | 0.238961 | -0.11264 | 0.399089 | 0.798336 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.017771 | 0.000077 | 0.011265 | -0.026537 | 0.01615 | 0.11968 | -0.019113 | -0.175668 | 0.178566 | 0.072504 | -0.109462 | -0.258778 | 0.143357 | -0.19155 | 0.153986 | 1.079439 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.007718 | -0.030557 | 0.099812 | -0.064679 | 0.048422 | -0.019587 | -0.015025 | -0.082899 | 0.157542 | -0.069956 | 0.069181 | -0.242525 | 0.129687 | -0.037785 | 0.09073 | 0.940679 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.054926 | -0.009392 | 0.095968 | -0.072922 | 0.050612 | 0.08095 | -0.01791 | -0.019248 | 0.021607 | -0.016407 | -0.058005 | -0.266692 | 0.266523 | -0.222901 | 0.347427 | 0.854859 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.070378 | 0.062252 | 0.053937 | 0.043505 | 0.017224 | -0.030044 | -0.023718 | 0.026399 | 0.031718 | -0.018949 | -0.12043 | -0.11263 | 0.145559 | 0.228506 | 0.07284 | 0.643869 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.04681 | -0.161054 | 0.238929 | 0.024203 | 0.045899 | 0.034506 | 0.016022 | -0.199524 | 0.050209 | -0.086008 | -0.024883 | -0.160893 | 0.147546 | 0.041986 | 0.313983 | 0.74184 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.035134 | -0.040652 | -0.010145 | -0.005148 | 0.024337 | 0.058606 | -0.020716 | 0.024673 | 0.093757 | -0.061789 | -0.108056 | -0.357057 | 0.214607 | -0.109586 | 0.40569 | 0.828205 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.019642 | 0.019719 | -0.000982 | -0.049193 | -0.028505 | 0.054748 | -0.004253 | -0.013984 | 0.094714 | 0.048907 | -0.085359 | -0.135704 | -0.081915 | -0.12503 | 0.144562 | 1.120576 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.088009 | -0.066928 | 0.013031 | -0.117947 | 0.05782 | 0.121915 | -0.066493 | -0.04479 | 0.114299 | 0.065586 | -0.042981 | -0.354828 | 0.151633 | -0.255494 | 0.406442 | 0.90655 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.117142 | 0.084139 | 0.105161 | -0.103779 | 0.116397 | -0.017071 | 0.089349 | -0.195602 | 0.049716 | 0.006063 | -0.061783 | -0.186722 | 0.121874 | -0.045074 | 0.177125 | 0.950939 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.054206 | -0.047271 | -0.01968 | -0.060799 | 0.063972 | 0.132623 | -0.108366 | 0.054388 | -0.081729 | 0.111712 | -0.062082 | -0.199058 | 0.019218 | -0.036728 | 0.143616 | 1.005195 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.019273 | 0.04289 | -0.093896 | -0.111393 | 0.135781 | 0.070941 | 0.048332 | -0.078044 | 0.087587 | 0.016147 | -0.129876 | -0.33413 | 0.225989 | -0.193433 | 0.429559 | 0.833134 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.041786 | 0.026271 | 0.031072 | -0.036414 | 0.027565 | -0.032466 | 0.032155 | -0.024549 | 0.005802 | -0.032409 | 0.040487 | -0.049013 | 0.032015 | 0.05017 | 0.191272 | 0.675744 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.105553 | 0.138262 | 0.130994 | -0.098797 | 0.089463 | -0.129295 | -0.259966 | 0.143925 | 0.214826 | -0.084503 | -0.045388 | -0.295278 | 0.310978 | -0.054614 | 0.279763 | 0.73469 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.008359 | 0.078148 | -0.08907 | -0.027633 | 0.07153 | -0.032707 | 0.062113 | -0.037286 | 0.122694 | -0.054893 | -0.050378 | -0.194012 | 0.049108 | -0.070225 | 0.141298 | 1.008532 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.041094 | -0.051669 | -0.037119 | 0.063609 | 0.036753 | 0.013162 | -0.005523 | -0.11547 | 0.083743 | 0.212475 | -0.186082 | -0.494239 | 0.420193 | -0.268033 | 0.347535 | 0.911257 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.039859 | 0.010704 | -0.120419 | -0.028712 | 0.140241 | 0.065077 | 0.013361 | -0.116001 | 0.0737 | -0.021128 | -0.022506 | -0.274391 | 0.041421 | 0.035728 | 0.231613 | 0.907296 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.014193 | -0.017529 | 0.0082 | 0.013569 | 0.003217 | -0.029587 | 0.0176 | 0.037632 | 0.042296 | 0.026735 | -0.147872 | -0.126197 | -0.052148 | -0.020635 | 0.315681 | 0.880612 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.016122 | 0.01964 | 0.084894 | -0.046138 | 0.018548 | -0.051585 | 0.001486 | -0.030774 | 0.043667 | -0.044923 | 0.013303 | -0.195709 | 0.166882 | -0.086166 | 0.254382 | 0.847464 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.024843 | 0.00362 | -0.01339 | -0.041416 | 0.043485 | 0.00532 | -0.05896 | 0.016813 | 0.137645 | 0.072719 | -0.129483 | -0.176503 | -0.073694 | -0.134593 | 0.339735 | 0.944382 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.043349 | -0.028152 | 0.098382 | -0.014898 | 0.010687 | 0.073811 | 0.004503 | -0.118053 | 0.103353 | -0.074465 | -0.046365 | -0.218286 | 0.129091 | 0.000316 | 0.312145 | 0.784367 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.012996 | -0.006295 | -0.001115 | -0.003328 | 0.024663 | 0.00963 | -0.00875 | -0.007466 | 0.030717 | 0.005295 | -0.011789 | -0.081109 | 0.057277 | -0.169497 | 0.007458 | 1.09323 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.032595 | -0.04315 | 0.041223 | -0.014911 | 0.032887 | 0.025938 | -0.012852 | -0.01308 | 0.020594 | 0.047157 | -0.075198 | -0.235368 | 0.237178 | -0.116492 | 0.225988 | 0.815961 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.037531 | -0.022383 | -0.013191 | -0.058176 | 0.040853 | 0.045161 | 0.029891 | 0.021845 | 0.034884 | -0.058376 | -0.066213 | -0.165706 | -0.06788 | -0.06869 | 0.447129 | 0.838485 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.050527 | 0.009312 | -0.036595 | -0.044968 | 0.040034 | -0.016639 | -0.006765 | 0.054378 | 0.052532 | 0.056109 | -0.179111 | -0.23538 | 0.187816 | -0.160303 | 0.585748 | 0.605494 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.035756 | -0.004974 | 0.009816 | -0.103259 | 0.080399 | 0.017872 | 0.067697 | -0.108908 | -0.013901 | 0.019799 | -0.044429 | -0.120874 | 0.069105 | 0.039848 | 0.162925 | 0.870676 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.025118 | 0.061749 | -0.091528 | -0.039419 | 0.026527 | 0.018789 | 0.026746 | -0.049182 | 0.102107 | 0.060982 | -0.077433 | -0.119128 | -0.007431 | -0.29162 | 0.206461 | 1.125625 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.038853 | 0.010038 | -0.057961 | 0.022365 | 0.017016 | -0.043123 | 0.059049 | -0.002484 | 0.023849 | 0.004007 | -0.071621 | -0.114484 | 0.037968 | -0.072071 | 0.132396 | 0.989128 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.032882 | 0.027589 | 0.039479 | -0.023024 | 0.001316 | 0.005191 | -0.002602 | -0.033949 | 0.148358 | -0.043855 | -0.017156 | -0.38202 | 0.264735 | -0.117181 | 0.131402 | 0.996592 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.084787 | -0.056842 | -0.021698 | -0.022147 | -0.036171 | 0.031021 | 0.082833 | 0.025151 | 0.036173 | -0.016572 | -0.042628 | -0.232974 | -0.060522 | 0.012906 | 0.384311 | 0.796208 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.106352 | 0.015731 | -0.131072 | -0.00547 | 0.008112 | 0.064435 | 0.013294 | -0.060132 | -0.01529 | -0.013298 | -0.026751 | -0.123017 | 0.014451 | 0.057729 | 0.270225 | 0.801753 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.122975 | 0.096595 | 0.148942 | -0.02925 | 0.026925 | -0.079987 | -0.174484 | -0.071556 | 0.291302 | -0.094079 | -0.032186 | -0.30898 | 0.409298 | -0.001249 | 0.132907 | 0.779213 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.093568 | -0.008076 | -0.062871 | -0.109296 | 0.055651 | 0.107681 | 0.008962 | -0.072902 | 0.025717 | 0.118429 | 0.022503 | -0.403644 | 0.181931 | -0.121802 | 0.169705 | 0.960858 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.031 | -0.024691 | 0.065129 | -0.083202 | 0.04425 | 0.021312 | -0.004102 | -0.045146 | 0.003022 | 0.017104 | 0.079634 | -0.156073 | -0.032071 | -0.164095 | 0.405631 | 0.818601 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.014873 | -0.02152 | -0.081854 | 0.074944 | 0.092247 | 0.037092 | -0.010265 | -0.141236 | 0.122575 | -0.061404 | -0.070989 | -0.261181 | 0.202909 | 0.065579 | 0.197143 | 0.82008 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.040306 | 0.015319 | -0.100713 | -0.08674 | 0.2061 | 0.001084 | -0.039632 | -0.102662 | 0.137288 | -0.019786 | -0.000568 | -0.191062 | 0.092417 | -0.191167 | 0.185077 | 1.042622 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.072209 | 0.087507 | 0.038692 | -0.115218 | 0.125179 | -0.006349 | 0.063251 | -0.169811 | 0.089241 | -0.044444 | 0.049955 | -0.31938 | 0.20828 | -0.181468 | 0.236315 | 0.990151 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.058409 | -0.084056 | 0.051851 | -0.003029 | 0.001336 | -0.060543 | 0.051463 | 0.038193 | 0.061701 | 0.014901 | -0.055943 | -0.167416 | -0.131972 | -0.04505 | 0.425467 | 0.822997 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.033443 | 0.021783 | -0.000076 | -0.163715 | 0.103535 | 0.081775 | -0.044017 | -0.008935 | 0.03922 | 0.036982 | 0.093525 | -0.319462 | 0.071272 | -0.261609 | 0.382236 | 0.909192 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.021172 | 0.02687 | 0.012311 | -0.04126 | -0.032407 | 0.019174 | -0.065074 | 0.025125 | 0.118261 | 0.130222 | -0.108187 | -0.187841 | -0.106437 | -0.095055 | 0.211766 | 1.04656 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.028102 | -0.037026 | -0.004892 | 0.014302 | 0.019439 | 0.05368 | -0.029795 | -0.062801 | 0.136325 | -0.005293 | -0.120259 | -0.241252 | 0.16683 | -0.025708 | 0.228448 | 0.857395 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.020566 | 0.007063 | 0.030547 | -0.004793 | 0.052167 | -0.032232 | -0.043941 | -0.014521 | 0.035901 | -0.071579 | -0.011373 | -0.038749 | 0.089486 | 0.087725 | 0.150202 | 0.760563 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.02333 | 0.022997 | -0.047481 | -0.022853 | 0.03508 | 0.049918 | 0.01647 | 0.0188 | 0.001925 | -0.044104 | -0.097997 | -0.093561 | -0.017687 | 0.023342 | 0.307129 | 0.804869 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.033866 | 0.005763 | -0.036855 | -0.046048 | 0.044275 | 0.006295 | 0.016906 | 0.014109 | 0.072656 | 0.03686 | -0.117381 | -0.192738 | -0.062443 | -0.028003 | 0.331827 | 0.897975 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.013944 | -0.025528 | 0.090071 | -0.0453 | -0.009066 | -0.01087 | 0.020007 | -0.068597 | 0.067928 | -0.074938 | -0.000276 | -0.114455 | 0.104104 | 0.029436 | 0.29303 | 0.739669 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.064728 | -0.046627 | -0.03705 | -0.029335 | 0.120343 | -0.056587 | 0.046043 | -0.110872 | 0.08308 | 0.015357 | 0.156223 | -0.262891 | 0.020824 | -0.273181 | 0.144652 | 1.144081 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.015868 | -0.069435 | 0.135489 | -0.084372 | 0.031596 | -0.048541 | 0.056555 | 0.041025 | 0.127608 | -0.011946 | -0.23041 | -0.399935 | 0.320715 | 0.086964 | 0.193244 | 0.810646 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.06945 | 0.00959 | 0.063573 | -0.039888 | 0.039689 | 0.095401 | -0.000544 | -0.07216 | 0.150026 | -0.057308 | -0.22894 | -0.448485 | 0.49461 | -0.138784 | 0.308226 | 0.875237 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.040346 | -0.051935 | 0.019067 | 0.012462 | 0.011933 | -0.028938 | 0.030215 | -0.050821 | 0.103505 | -0.045324 | 0.081008 | -0.133844 | -0.013928 | -0.245675 | 0.108409 | 1.132766 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.046987 | -0.052173 | -0.01771 | 0.00428 | 0.074402 | 0.000653 | 0.029014 | -0.054397 | 0.085116 | -0.066898 | -0.011512 | -0.16931 | 0.041026 | 0.019559 | 0.310551 | 0.73632 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.025345 | -0.030936 | 0.046861 | -0.042678 | 0.106593 | 0.086205 | -0.093296 | 0.000033 | 0.090509 | -0.069282 | -0.081937 | -0.348716 | 0.221216 | -0.123818 | 0.43382 | 0.801617 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.018927 | -0.055086 | 0.017685 | 0.081532 | 0.042994 | 0.050314 | -0.042565 | -0.045188 | 0.122242 | -0.085448 | -0.13796 | -0.072309 | 0.123927 | 0.031319 | 0.180877 | 0.765217 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.037374 | -0.062719 | 0.069442 | -0.118376 | 0.128641 | 0.01482 | -0.027783 | -0.118562 | 0.091481 | 0.165192 | 0.02068 | -0.392745 | 0.151849 | -0.269431 | 0.23411 | 1.055021 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.071668 | -0.047659 | -0.093632 | 0.068687 | 0.031877 | -0.010308 | -0.013465 | 0.03664 | 0.036571 | 0.011158 | 0.009911 | -0.196479 | -0.032919 | -0.104504 | 0.180346 | 1.026313 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.009326 | -0.051514 | 0.086965 | 0.015161 | 0.020151 | 0.002073 | -0.01294 | -0.049751 | 0.070782 | 0.008075 | -0.037281 | -0.275563 | 0.190041 | -0.122491 | 0.324686 | 0.807156 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.032496 | -0.045297 | -0.020263 | -0.018615 | 0.05018 | 0.079148 | 0.008663 | -0.001993 | 0.092807 | -0.04513 | -0.180456 | -0.363923 | 0.300428 | -0.111656 | 0.4319 | 0.769427 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.047002 | -0.010115 | -0.003141 | -0.046641 | -0.008028 | 0.03429 | -0.021225 | 0.008907 | 0.11511 | 0.007153 | -0.023406 | -0.249104 | 0.03923 | -0.128994 | 0.12644 | 1.080653 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.00814 | 0.028699 | 0.000361 | -0.077195 | 0.084781 | 0.132173 | -0.037605 | -0.150504 | 0.04678 | -0.042303 | -0.035231 | -0.172257 | 0.081713 | 0.000248 | 0.220152 | 0.911506 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.007809 | -0.041196 | 0.027643 | -0.011171 | 0.039864 | 0.013159 | 0.012715 | -0.045298 | 0.039813 | 0.073349 | -0.030441 | -0.442404 | 0.327507 | -0.125309 | 0.008454 | 1.10677 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.055607 | -0.006848 | -0.063115 | -0.046095 | 0.082328 | 0.032233 | -0.025853 | -0.062188 | 0.081366 | 0.025688 | 0.124401 | -0.270202 | 0.029191 | -0.344296 | 0.302904 | 1.062826 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.05238 | -0.024475 | -0.026061 | -0.02903 | 0.072119 | -0.017926 | -0.014762 | -0.101546 | 0.158492 | 0.086239 | 0.039548 | -0.326441 | 0.086048 | -0.199433 | 0.022336 | 1.200585 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.05054 | -0.124875 | 0.098198 | -0.066683 | 0.081396 | -0.029386 | 0.034441 | -0.019288 | 0.031355 | 0.032206 | 0.040065 | -0.258501 | -0.022752 | 0.076091 | 0.141923 | 0.906898 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.022005 | 0.060138 | -0.062321 | -0.088518 | 0.063785 | 0.047075 | 0.015705 | -0.043002 | 0.118056 | -0.059899 | 0.00238 | -0.224286 | -0.019974 | -0.025317 | 0.326422 | 0.844608 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.056911 | -0.040784 | 0.000422 | -0.047821 | 0.112793 | -0.080622 | -0.01023 | 0.027043 | 0.077099 | 0.033458 | 0.078051 | -0.369561 | -0.008648 | -0.097783 | 0.350407 | 0.891199 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.017583 | 0.031245 | 0.031553 | -0.183362 | 0.123331 | -0.035411 | 0.071581 | -0.09053 | 0.154888 | -0.010023 | -0.028918 | -0.187665 | -0.01609 | -0.160186 | 0.206595 | 1.056248 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.026678 | 0.024935 | 0.012278 | 0.012495 | -0.024322 | 0.016114 | 0.0262 | 0.003718 | 0.029753 | -0.011555 | -0.08003 | -0.04466 | -0.104793 | 0.007771 | 0.118767 | 1.012161 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.029954 | -0.027472 | 0.05805 | -0.034531 | 0.0852 | 0.021972 | 0.05228 | -0.095545 | -0.01452 | -0.043939 | -0.032974 | -0.170996 | 0.094804 | 0.104986 | 0.365689 | 0.645234 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.084896 | 0.050519 | 0.019849 | -0.112026 | 0.179325 | 0.103006 | -0.006563 | -0.159582 | 0.055688 | -0.059993 | -0.029689 | -0.278033 | 0.207819 | -0.043394 | 0.267808 | 0.875053 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.003078 | 0.068443 | -0.000488 | -0.094175 | 0.122126 | -0.031983 | 0.008517 | 0.003298 | 0.104359 | -0.026034 | -0.102083 | -0.175028 | 0.083207 | 0.039147 | 0.256198 | 0.735985 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.071117 | 0.132951 | -0.083339 | -0.045147 | 0.120607 | 0.066391 | -0.11119 | 0.029904 | 0.021594 | -0.031833 | -0.003953 | -0.245007 | 0.282042 | -0.149847 | 0.192791 | 0.86621 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.029909 | 0.031655 | -0.045864 | -0.089939 | 0.071718 | 0.026052 | 0.018487 | -0.007175 | 0.06156 | -0.002258 | -0.053052 | -0.154597 | 0.034313 | -0.14391 | 0.178146 | 1.020709 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.00234 | 0.054082 | -0.014551 | -0.072893 | -0.00497 | 0.058641 | 0.006634 | -0.034054 | 0.066814 | 0.081719 | -0.099845 | -0.090843 | -0.152648 | -0.081923 | 0.158897 | 1.101196 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.033075 | -0.058924 | -0.018747 | -0.030608 | 0.115399 | 0.042187 | -0.051487 | 0.034378 | -0.011576 | 0.13009 | -0.129772 | -0.421084 | 0.302486 | -0.307769 | 0.403052 | 0.945991 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.039994 | -0.020365 | 0.030575 | -0.025566 | 0.049173 | 0.021994 | 0.022852 | -0.083447 | -0.017211 | 0.014052 | 0.047517 | -0.139906 | -0.081594 | 0.260505 | 0.319642 | 0.494339 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.019695 | -0.081076 | 0.05059 | 0.012537 | 0.050926 | 0.020237 | -0.00275 | -0.020862 | -0.017162 | -0.048607 | -0.011106 | -0.225151 | 0.192211 | -0.146551 | 0.341356 | 0.844341 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.053419 | -0.05955 | -0.031899 | -0.018239 | 0.101658 | -0.031545 | 0.007142 | 0.011001 | 0.030711 | -0.004562 | 0.015691 | -0.140867 | -0.151048 | -0.154852 | 0.372508 | 0.973718 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.056364 | 0.062376 | 0.035998 | -0.116589 | 0.12145 | 0.027823 | 0.068312 | -0.135668 | -0.008975 | -0.024255 | 0.027066 | -0.1264 | 0.008431 | -0.034615 | 0.058586 | 1.073248 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.021992 | 0.019673 | -0.01008 | -0.029534 | 0.069208 | 0.016821 | -0.014593 | -0.034477 | 0.146319 | 0.058872 | -0.170892 | -0.497387 | 0.379685 | -0.190399 | 0.379671 | 0.875002 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.022258 | 0.035219 | -0.0141 | -0.069159 | -0.005807 | 0.08432 | 0.003619 | 0.038995 | -0.004094 | 0.059612 | -0.265589 | -0.105566 | 0.080841 | -0.014596 | 0.427511 | 0.675241 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.039262 | -0.077966 | 0.178337 | -0.02813 | 0.001194 | 0.040623 | -0.035556 | -0.042487 | 0.129934 | -0.019727 | -0.130567 | -0.140976 | 0.08225 | 0.049492 | 0.212525 | 0.784503 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.009321 | 0.097037 | -0.002655 | -0.106922 | 0.181041 | -0.220367 | -0.149203 | 0.03102 | 0.138964 | -0.086122 | 0.069581 | -0.088274 | 0.15153 | 0.061673 | 0.175482 | 0.712473 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.010391 | -0.034386 | 0.029163 | -0.011585 | 0.060817 | 0.005579 | -0.016509 | -0.100422 | 0.161166 | -0.004055 | -0.024214 | -0.236651 | 0.089077 | -0.092546 | 0.219196 | 0.924492 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | -0.030007 | 0.006681 | 0.032578 | -0.040136 | 0.088267 | -0.006484 | 0.056884 | -0.049803 | 0.098714 | -0.119156 | -0.220844 | -0.17757 | 0.273456 | 0.009898 | 0.355878 | 0.697417 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.07385 | -0.029368 | -0.113447 | 0.006314 | 0.087651 | 0.060341 | 0.023287 | -0.010091 | -0.009755 | -0.033039 | -0.137679 | -0.264879 | 0.151748 | 0.135773 | 0.187428 | 0.85104 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.00716 | -0.027686 | 0.045402 | -0.034308 | 0.027245 | 0.031847 | -0.030737 | 0.022918 | 0.096584 | 0.017763 | -0.141113 | -0.245338 | 0.227416 | -0.014338 | 0.074828 | 0.922391 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.059888 | -0.145012 | 0.025462 | 0.085389 | 0.043862 | 0.066439 | -0.020548 | -0.131477 | 0.023707 | -0.005146 | 0.133202 | -0.335513 | 0.149168 | -0.086792 | 0.286193 | 0.839925 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.02281 | 0.045054 | -0.045685 | -0.072287 | 0.057347 | 0.024897 | -0.0353 | -0.023981 | 0.151474 | -0.01194 | 0.035994 | -0.294804 | 0.089948 | -0.296432 | 0.275266 | 1.052321 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.031545 | 0.02377 | -0.058086 | 0.015504 | -0.037663 | 0.032627 | 0.010097 | -0.016008 | 0.031299 | 0.060349 | -0.003588 | -0.128209 | -0.043902 | -0.2341 | 0.189755 | 1.093478 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.05353 | 0.01286 | -0.018766 | -0.040497 | -0.020875 | -0.019509 | -0.026396 | 0.049508 | 0.053126 | -0.028708 | 0.00037 | -0.150134 | 0.094719 | 0.009284 | 0.277525 | 0.725279 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weights | 0.005213 | 0.011872 | 0.003636 | -0.020399 | -0.027692 | 0.05699 | 0.023258 | -0.070768 | 0.030465 | 0.093526 | 0.04906 | -0.216879 | -0.118059 | -0.252634 | 0.382802 | 1.026355 |
Predicting...
Scoring...
| t+1 | t+2 | t+3 | t+4 | t+5 | t+6 | t+7 | t+8 | t+9 | t+10 | t+11 | t+12 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| R2 | 0.845500 | 0.808931 | 0.750002 | 0.676203 | 0.582587 | 0.492036 | 0.406664 | 0.332380 | 0.267131 | 0.217029 | 0.178383 | 0.148948 |
| RMSE | 151.224199 | 168.171198 | 192.364313 | 218.923816 | 248.564720 | 274.203313 | 296.351193 | 314.355486 | 329.359004 | 340.431078 | 348.731351 | 354.923317 |
| MSE | 22868.758254 | 28281.551997 | 37004.029014 | 47927.637163 | 61784.419853 | 75187.457031 | 87824.029437 | 98819.371734 | 108477.353782 | 115893.318714 | 121613.555016 | 125970.560940 |
| MAE | 0.608901 | 0.653870 | 0.703409 | 0.750556 | 0.801738 | 0.842684 | 0.880211 | 0.913559 | 0.944188 | 0.967519 | 0.988271 | 1.008943 |
| MAPE | 60.890095 | 65.387049 | 70.340904 | 75.055579 | 80.173767 | 84.268418 | 88.021095 | 91.355946 | 94.418821 | 96.751931 | 98.827083 | 100.894279 |
| MPE | -28.302220 | -25.649025 | -23.240874 | -21.610105 | -20.590553 | -19.851917 | -19.535926 | -19.486887 | -19.314468 | -18.560218 | -17.445094 | -16.470107 |
CPU times: user 20min 43s, sys: 52.5 s, total: 21min 35s Wall time: 20min 26s
fig, ax = plt.subplots(1, figsize=(10, 6))
ax.set_prop_cycle(color=['darkgoldenrod', 'brown'])
x = range(1, limit_t+1)
baseline_score = df_baseline_scores.loc['RMSE', 's'].repeat(limit_t).reshape(-1, limit_t).T
model_score = np.array(ar_scores_s).T[1]
ax = plt.plot(x, model_score, linewidth=3, label="AR per station")
ax = plt.scatter(x, model_score, marker='*', s=100)
ax = plt.plot(x, baseline_score, linewidth=3, label="Baseline per station")
ax = plt.scatter(x, baseline_score, marker='*', s=100)
plt.legend(prop={'size': 20})
plt.title("RMSE of baseline and AR model for each station, from $t+1$ to $t+{}$".format(limit_t), fontsize=16)
plt.xlabel("T plus", fontsize=16); plt.ylabel("RMSE", fontsize=16);
fig, ax = plt.subplots(1, figsize=(16, 6))
ax.set_prop_cycle(color=['crimson', 'teal', 'b', 'darkgoldenrod'])
x = range(1, limit_t+1)
baseline_scores = df_baseline_scores.loc['RMSE'].values.repeat(limit_t).reshape(-1, limit_t).T
model_scores = np.vstack((np.array(ar_scores).T[1], np.array(ar_scores_s).T[1])).T
baselineObjects = plt.plot(x, baseline_scores, linewidth=3)
labels = ["Full baseline", "Baseline per station", "Baseline per day",
"Baseline per station and day", "Full AR", "AR per station"]
arlineObjects = plt.plot(x, model_scores, linewidth=3)
for i, m in zip(range(4), ['D', '*', '|', 'X']):
ax = plt.scatter(x, baseline_scores[:, i], marker=m, s=100)
for i, m in zip(range(2), ['D', '*']):
ax = plt.scatter(x, model_scores[:, i], marker=m, s=100)
plt.legend(baselineObjects+arlineObjects, labels, prop={'size': 15})
plt.title("RMSE of baseline and AR model for each station, from $t+1$ to $t+{}$".format(limit_t), fontsize=16)
plt.xlabel("T plus", fontsize=16); plt.ylabel("RMSE", fontsize=16);
order = 4
limit_t = 4
%%time
ar_scores, ar_preds = ar_plot_results(None, order, limit_t)
Fitting...
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.104382 | -0.246324 | 0.2626 | 1.050415 |
Predicting...
Scoring...
| t+1 | t+2 | t+3 | t+4 | |
|---|---|---|---|---|
| R2 | 0.958766 | 0.914209 | 0.840809 | 0.752345 |
| RMSE | 73.686854 | 106.287386 | 144.784028 | 180.586511 |
| MSE | 5429.752456 | 11297.008338 | 20962.414756 | 32611.487942 |
| MAE | 0.300858 | 0.402107 | 0.488673 | 0.561052 |
| MAPE | 30.085829 | 40.210705 | 48.867320 | 56.105228 |
| MPE | 3.006045 | 7.529172 | 12.844726 | 18.821786 |
CPU times: user 5.59 s, sys: 344 ms, total: 5.94 s Wall time: 5.51 s
fig, ax = plt.subplots(1, figsize=(10, 6))
ax.set_prop_cycle(color=['darkgoldenrod', 'brown'])
x = range(1, limit_t+1)
baseline_score = df_baseline_scores.loc['RMSE', 'None'].repeat(limit_t).reshape(-1, limit_t).T
model_score = np.array(ar_scores).T[1]
ax = plt.plot(x, model_score, linewidth=3, label="Full AR")
ax = plt.scatter(x, model_score, marker='*', s=100)
ax = plt.plot(x, baseline_score, linewidth=3, label="Full baseline")
ax = plt.scatter(x, baseline_score, marker='*', s=100)
plt.legend(prop={'size': 20})
plt.title("RMSE of full baseline and AR model, from $t+1$ to $t+{}$".format(limit_t), fontsize=16)
plt.xlabel("T plus", fontsize=16); plt.ylabel("RMSE", fontsize=16);
order = 4
limit_t = 4
%%time
ar_scores_s, ar_preds_s = ar_plot_results("s", order, limit_t)
Fitting...
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.239011 | -0.030744 | 0.332886 | 0.875556 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.04451 | 0.070881 | 0.160271 | 0.774917 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.021294 | -0.328346 | 0.145003 | 1.146564 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.046189 | -0.255271 | 0.543684 | 0.720244 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.046352 | -0.058901 | 0.153449 | 0.847737 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.02692 | -0.217374 | 0.091465 | 1.101507 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.066368 | -0.168961 | 0.448847 | 0.760346 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.141217 | -0.066002 | 0.032806 | 1.131795 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.09996 | -0.090859 | 0.049693 | 1.109947 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.020156 | -0.235029 | -0.175749 | 1.350505 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.154175 | -0.21313 | 0.685883 | 0.62963 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.002854 | -0.126 | 0.249603 | 0.856857 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.311363 | -0.248153 | 0.413767 | 0.493986 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.002632 | -0.274622 | 0.485806 | 0.758796 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.028275 | -0.183253 | 0.281521 | 0.851323 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.037599 | -0.175434 | 0.079094 | 1.092819 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.178768 | -0.111677 | 0.310868 | 0.600286 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.048467 | -0.18749 | 0.239054 | 0.966606 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.01155 | 0.068634 | 0.255806 | 0.652209 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.107572 | -0.021628 | 0.155846 | 0.955183 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.096517 | -0.438079 | 0.20269 | 1.112946 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.108564 | -0.13882 | 0.192821 | 1.01726 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.0553 | -0.258783 | 0.300193 | 0.972134 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.023045 | -0.350205 | 0.107265 | 1.168569 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.100345 | -0.167473 | 0.034038 | 1.189448 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.051196 | -0.351564 | 0.481933 | 0.78542 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.011194 | -0.178485 | 0.338775 | 0.808996 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.200047 | 0.01616 | 0.299964 | 0.862368 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.073536 | -0.290858 | 0.430892 | 0.765782 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.026285 | -0.040577 | 0.2526 | 0.774319 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.12006 | -0.413644 | 0.349964 | 0.913495 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.038591 | -0.411712 | 0.427698 | 0.989628 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.038352 | -0.402451 | 0.205233 | 1.118623 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.072388 | -0.115464 | 0.184208 | 0.970213 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.017635 | -0.237624 | 0.294379 | 0.90596 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.178725 | 0.137032 | -0.038518 | 0.683629 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.028731 | -0.097921 | 0.243659 | 0.867067 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.027018 | -0.010368 | 0.171532 | 0.832572 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.077159 | -0.129497 | 0.255459 | 0.922132 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.068858 | -0.432934 | 0.335326 | 1.012417 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.012627 | -0.348988 | 0.287493 | 1.042015 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.026658 | -0.014676 | 0.399942 | 0.618076 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.134517 | 0.118943 | 0.002652 | 0.696208 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.143729 | 0.087779 | 0.241326 | 0.786733 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.122666 | -0.037228 | 0.208548 | 0.903299 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.117714 | -0.11038 | 0.281332 | 0.91746 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.124435 | -0.599753 | 0.294563 | 1.150515 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.03195 | -0.067119 | 0.223291 | 0.843177 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.012262 | -0.23811 | 0.128152 | 1.102744 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.153248 | -0.175558 | 0.323738 | 0.967851 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.265793 | 0.07292 | 0.063357 | 0.572159 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.000498 | -0.236315 | 0.137411 | 1.059229 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.023839 | -0.149748 | 0.422816 | 0.715355 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.063831 | -0.060971 | 0.202982 | 0.902974 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.092303 | -0.372009 | 0.299027 | 0.954059 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.20716 | 0.093172 | 0.427846 | 0.646834 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.04861 | 0.270962 | -0.005895 | 0.624544 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.084717 | -0.142769 | 0.035538 | 1.17183 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.107083 | -0.09586 | 0.190457 | 0.758195 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.015718 | -0.277501 | 0.010018 | 1.193071 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.047292 | -0.120701 | 0.344442 | 0.785877 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.043109 | -0.137286 | 0.076971 | 1.077113 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.12304 | 0.121994 | 0.060467 | 0.652634 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.210366 | -0.132966 | 0.263861 | 0.633253 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.1902 | 0.047655 | 0.317711 | 0.792653 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.090413 | 0.077251 | -0.104038 | 0.889021 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.02216 | -0.2273 | 0.008596 | 1.195109 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.165823 | -0.10626 | 0.368288 | 0.843766 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.040822 | -0.204884 | -0.077045 | 1.286963 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.09383 | -0.026028 | 0.077186 | 0.826179 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.039244 | -0.272065 | -0.077182 | 1.257855 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.130197 | 0.049751 | 0.360344 | 0.681468 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.151208 | -0.184047 | 0.473892 | 0.818926 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.077634 | -0.021332 | -0.13393 | 1.197583 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.115732 | -0.11494 | 0.351974 | 0.76865 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.000283 | -0.033409 | 0.363755 | 0.650914 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.328239 | 0.079135 | 0.060835 | 0.458215 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.018483 | -0.341942 | 0.596271 | 0.732658 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.19672 | -0.108802 | 0.322458 | 0.959754 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.112404 | -0.177327 | 0.177477 | 1.067967 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.013096 | 0.000652 | 0.257224 | 0.702342 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.14259 | -0.086117 | 0.303374 | 0.89429 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.08212 | -0.516582 | 0.3741 | 1.017632 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.050417 | -0.038252 | -0.112391 | 1.169197 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.105633 | -0.077113 | 0.007098 | 0.922394 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.117991 | -0.151532 | 0.117269 | 1.108111 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.032297 | -0.38242 | 0.214406 | 1.079352 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.170998 | -0.064751 | 0.247731 | 0.959693 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.069125 | -0.123473 | 0.303714 | 0.848182 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
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| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
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| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
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| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
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| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
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|---|---|---|---|---|
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|---|---|---|---|---|
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|---|---|---|---|---|
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|---|---|---|---|---|
| Weights | -0.036634 | -0.08677 | 0.213789 | 0.883125 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.00379 | 0.06417 | 0.141996 | 0.769306 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.141503 | -0.034407 | 0.297028 | 0.849808 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.177121 | -0.103552 | 0.308807 | 0.939572 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.042462 | -0.047886 | 0.320406 | 0.757049 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.041993 | -0.414738 | 0.208363 | 1.130274 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.019406 | -0.031598 | 0.137986 | 0.843822 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.066913 | -0.355736 | 0.386146 | 0.885546 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.003891 | -0.309202 | 0.118001 | 1.139715 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.048974 | -0.06152 | 0.328869 | 0.74919 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.041662 | -0.34777 | 0.513933 | 0.840744 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.003527 | -0.001054 | 0.147813 | 0.800037 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.037393 | -0.420382 | 0.320206 | 1.030734 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.104863 | -0.14682 | 0.162751 | 1.049938 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.012616 | -0.243132 | 0.382314 | 0.807919 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.011136 | -0.335787 | 0.484812 | 0.812067 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.083798 | -0.185979 | 0.117505 | 1.105211 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.141439 | -0.051039 | 0.205181 | 0.96796 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.0488 | -0.137164 | 0.034094 | 1.108367 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.039905 | -0.476867 | 0.335318 | 1.066573 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.004667 | -0.272586 | 0.014738 | 1.216704 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.123747 | 0.033267 | 0.139641 | 0.914522 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.120942 | -0.111533 | 0.333298 | 0.86611 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.083531 | -0.255097 | 0.399189 | 0.893932 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.065474 | -0.264587 | 0.244223 | 1.056664 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.166757 | -0.01246 | 0.111436 | 1.031826 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.06011 | -0.001404 | 0.369007 | 0.672706 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.041307 | -0.169824 | 0.300269 | 0.899006 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.033788 | -0.013926 | 0.246725 | 0.777238 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.090833 | -0.191396 | 0.227804 | 0.84205 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.064576 | -0.186379 | 0.174414 | 1.04226 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.163708 | -0.116502 | 0.123318 | 1.123579 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.006345 | -0.463512 | 0.467435 | 0.971701 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.120193 | 0.230504 | 0.292215 | 0.511996 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.017362 | -0.272884 | 0.410984 | 0.85721 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.170499 | -0.215194 | 0.360212 | 0.989585 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.123314 | -0.055309 | 0.05734 | 1.098121 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.05221 | -0.415762 | 0.470457 | 0.867202 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.106609 | -0.094585 | 0.425274 | 0.714323 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.052578 | 0.012899 | 0.188195 | 0.809416 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.065905 | 0.025711 | 0.174542 | 0.712219 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.029701 | -0.17151 | 0.244951 | 0.929406 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.027606 | -0.150049 | 0.359351 | 0.739669 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.150261 | 0.072624 | 0.110236 | 0.942348 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.019412 | -0.021004 | 0.030595 | 0.944754 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.013209 | -0.230322 | 0.37705 | 0.822729 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.011537 | -0.429539 | 0.318928 | 1.059298 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.055982 | -0.27319 | 0.175912 | 1.106204 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | 0.001153 | -0.037871 | 0.277444 | 0.731097 |
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Weights | -0.105543 | -0.331488 | 0.352361 | 1.048734 |
Predicting...
Scoring...
| t+1 | t+2 | t+3 | t+4 | |
|---|---|---|---|---|
| R2 | 0.846456 | 0.807080 | 0.743545 | 0.663658 |
| RMSE | 142.192840 | 159.386203 | 183.766874 | 210.451684 |
| MSE | 20218.803625 | 25403.961577 | 33770.264135 | 44289.911248 |
| MAE | 0.659805 | 0.704571 | 0.747664 | 0.789678 |
| MAPE | 65.980504 | 70.457098 | 74.766390 | 78.967843 |
| MPE | -27.859338 | -23.176606 | -18.163449 | -14.027863 |
CPU times: user 6min 27s, sys: 56.1 s, total: 7min 23s Wall time: 6min 9s
fig, ax = plt.subplots(1, figsize=(10, 6))
ax.set_prop_cycle(color=['darkgoldenrod', 'brown'])
x = range(1, limit_t+1)
baseline_score = df_baseline_scores.loc['RMSE', 's'].repeat(limit_t).reshape(-1, limit_t).T
model_score = np.array(ar_scores_s).T[1]
ax = plt.plot(x, model_score, linewidth=3, label="AR per station")
ax = plt.scatter(x, model_score, marker='*', s=100)
ax = plt.plot(x, baseline_score, linewidth=3, label="Baseline per station")
ax = plt.scatter(x, baseline_score, marker='*', s=100)
plt.legend(prop={'size': 20})
plt.title("RMSE of baseline and AR model for each station, from $t+1$ to $t+{}$".format(limit_t), fontsize=16)
plt.xlabel("T plus", fontsize=16); plt.ylabel("RMSE", fontsize=16);
fig, ax = plt.subplots(1, figsize=(16, 6))
ax.set_prop_cycle(color=['crimson', 'teal', 'b', 'darkgoldenrod'])
x = range(1, limit_t+1)
baseline_scores = df_baseline_scores.loc['RMSE'].values.repeat(limit_t).reshape(-1, limit_t).T
model_scores = np.vstack((np.array(ar_scores).T[1], np.array(ar_scores_s).T[1])).T
baselineObjects = plt.plot(x, baseline_scores, linewidth=3)
labels = ["Full baseline", "Baseline per station", "Baseline per day",
"Baseline per station and day", "Full AR", "AR per station"]
arlineObjects = plt.plot(x, model_scores, linewidth=3)
for i, m in zip(range(4), ['D', '*', '|', 'X']):
ax = plt.scatter(x, baseline_scores[:, i], marker=m, s=100)
for i, m in zip(range(2), ['D', '*']):
ax = plt.scatter(x, model_scores[:, i], marker=m, s=100)
plt.legend(baselineObjects+arlineObjects, labels, prop={'size': 15})
plt.title("RMSE of baseline and AR model for each station, from $t+1$ to $t+{}$".format(limit_t), fontsize=16)
plt.xlabel("T plus", fontsize=16); plt.ylabel("RMSE", fontsize=16);